{
  "schema_version": "maglab-standard-report-v3",
  "run": 100263,
  "generated_utc": "2026-08-18T03:31:53+00:00",
  "analyzer_version": "maglab-analyzer v10",
  "analysis_model_id": "maglab-analysis-v1",
  "run_header": {
    "run": 100263,
    "session_id": "c5cb9066-fb5e-4813-a1fd-39ddb43bf56a",
    "started_utc_ms": 1787023494386,
    "duration_s": 312.28,
    "samples": {
      "calibrated": 15004,
      "uncalibrated": 15004,
      "accelerometer": 15749,
      "gyroscope": 15749
    },
    "magnetometer_accuracy_codes": "2\u00d715004",
    "requested_delay_us": 20000,
    "app_version": "30",
    "analysis_model_id": "maglab-analysis-v1",
    "has_console_manifest": false
  },
  "identity": {
    "person": "unknown",
    "role": "unassigned",
    "condition": "CONTROL"
  },
  "primary_outcome": {
    "version": "maglab-final-v1",
    "available": true,
    "reason": "",
    "stream": "calibrated",
    "reference_n": 1500,
    "outcome_n": 3000,
    "reference_window_s": [
      0.0,
      30.0
    ],
    "outcome_window_s": [
      240.0,
      300.0
    ],
    "reference_actual_bounds_s": [
      0.0,
      29.980004003
    ],
    "outcome_actual_bounds_s": [
      240.000002161,
      299.980003726
    ],
    "run_seconds": 300.059999654,
    "signed_delta_nt": 11590.4,
    "absolute_delta_nt": 11590.4,
    "delta_pct": 23.4,
    "reference_magnitude_ut": 49.531095,
    "outcome_magnitude_ut": 61.121544,
    "angle_deg": 45.339,
    "ambient_ut": 60.94
  },
  "practitioner_comparison": {
    "available": false,
    "reason": "not_a_cherylee_primary_run"
  },
  "overall_quality": "COMPLETE WITH DATA-QUALITY WARNING",
  "summary": "CONTROL; +11590.4 nT; complete with data-quality warning",
  "checks": {
    "readiness": {
      "status": "pass",
      "analyzable": true,
      "missing_streams": [],
      "session_type": "PHONE_FIRST_SESSION",
      "app_version": "30",
      "console_manifest": "unavailable_phone_first",
      "blocks": {
        "value": 1,
        "unit": "rows",
        "n": 1,
        "window": "whole run",
        "validity": "valid",
        "reason_code": "",
        "note": ""
      },
      "aborted_blocks": {
        "value": 0,
        "unit": "blocks",
        "n": 1,
        "window": "whole run",
        "validity": "valid",
        "reason_code": "",
        "note": ""
      },
      "streams": {
        "calibrated": {
          "value": 15004,
          "unit": "samples",
          "n": 15004,
          "window": "whole run",
          "validity": "valid",
          "reason_code": "",
          "note": ""
        },
        "uncalibrated": {
          "value": 15004,
          "unit": "samples",
          "n": 15004,
          "window": "whole run",
          "validity": "valid",
          "reason_code": "",
          "note": ""
        },
        "accelerometer": {
          "value": 15749,
          "unit": "samples",
          "n": 15749,
          "window": "whole run",
          "validity": "valid",
          "reason_code": "",
          "note": ""
        },
        "gyroscope": {
          "value": 15749,
          "unit": "samples",
          "n": 15749,
          "window": "whole run",
          "validity": "valid",
          "reason_code": "",
          "note": ""
        }
      }
    },
    "sampling": {
      "summary": "calibrated magnetometer 50 Hz effective over N=15004 samples, 0 gaps",
      "stats": {
        "calibrated_samples": {
          "key": "calibrated_samples",
          "label": "calibrated samples",
          "value": 15004,
          "unit": "",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_duration": {
          "key": "calibrated_duration",
          "label": "calibrated span, first to last sample",
          "value": 300.06,
          "unit": "s",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_effective_rate": {
          "key": "calibrated_effective_rate",
          "label": "calibrated effective rate",
          "value": 50.00000005765513,
          "unit": "Hz",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "nominal 50 Hz",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_median_interval": {
          "key": "calibrated_median_interval",
          "label": "calibrated median sample interval",
          "value": 19.999260000005847,
          "unit": "ms",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_max_interval": {
          "key": "calibrated_max_interval",
          "label": "calibrated largest sample interval",
          "value": 20.01507399998559,
          "unit": "ms",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_gaps": {
          "key": "calibrated_gaps",
          "label": "calibrated intervals over 1.5\u00d7 nominal",
          "value": 0,
          "unit": "",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_missing_estimate": {
          "key": "calibrated_missing_estimate",
          "label": "calibrated samples missing across those gaps",
          "value": 0,
          "unit": "",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "estimated from interval length; the phone never fabricates a sample",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_completeness": {
          "key": "calibrated_completeness",
          "label": "calibrated completeness against nominal rate",
          "value": 1.0001,
          "unit": "",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_gaps_exported": {
          "key": "calibrated_gaps_exported",
          "label": "calibrated gaps recorded by the phone",
          "value": 598,
          "unit": "",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "from data_gaps.csv",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_samples": {
          "key": "uncalibrated_samples",
          "label": "uncalibrated samples",
          "value": 15004,
          "unit": "",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_duration": {
          "key": "uncalibrated_duration",
          "label": "uncalibrated span, first to last sample",
          "value": 300.06,
          "unit": "s",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_effective_rate": {
          "key": "uncalibrated_effective_rate",
          "label": "uncalibrated effective rate",
          "value": 50.00000005765513,
          "unit": "Hz",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "nominal 50 Hz",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_median_interval": {
          "key": "uncalibrated_median_interval",
          "label": "uncalibrated median sample interval",
          "value": 19.999260000005847,
          "unit": "ms",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_max_interval": {
          "key": "uncalibrated_max_interval",
          "label": "uncalibrated largest sample interval",
          "value": 20.01507399998559,
          "unit": "ms",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_gaps": {
          "key": "uncalibrated_gaps",
          "label": "uncalibrated intervals over 1.5\u00d7 nominal",
          "value": 0,
          "unit": "",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_missing_estimate": {
          "key": "uncalibrated_missing_estimate",
          "label": "uncalibrated samples missing across those gaps",
          "value": 0,
          "unit": "",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "estimated from interval length; the phone never fabricates a sample",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_completeness": {
          "key": "uncalibrated_completeness",
          "label": "uncalibrated completeness against nominal rate",
          "value": 1.0001,
          "unit": "",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_gaps_exported": {
          "key": "uncalibrated_gaps_exported",
          "label": "uncalibrated gaps recorded by the phone",
          "value": 598,
          "unit": "",
          "n": 15003,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "from data_gaps.csv",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_samples": {
          "key": "accelerometer_samples",
          "label": "accelerometer samples",
          "value": 15749,
          "unit": "",
          "n": 15749,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_duration": {
          "key": "accelerometer_duration",
          "label": "accelerometer span, first to last sample",
          "value": 300.067,
          "unit": "s",
          "n": 15749,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_effective_rate": {
          "key": "accelerometer_effective_rate",
          "label": "accelerometer effective rate",
          "value": 52.48168593649601,
          "unit": "Hz",
          "n": 15749,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "nominal 50 Hz",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_median_interval": {
          "key": "accelerometer_median_interval",
          "label": "accelerometer median sample interval",
          "value": 19.054233000002085,
          "unit": "ms",
          "n": 15748,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_max_interval": {
          "key": "accelerometer_max_interval",
          "label": "accelerometer largest sample interval",
          "value": 19.054603000000725,
          "unit": "ms",
          "n": 15748,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_gaps": {
          "key": "accelerometer_gaps",
          "label": "accelerometer intervals over 1.5\u00d7 nominal",
          "value": 0,
          "unit": "",
          "n": 15748,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_missing_estimate": {
          "key": "accelerometer_missing_estimate",
          "label": "accelerometer samples missing across those gaps",
          "value": 0,
          "unit": "",
          "n": 15748,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "estimated from interval length; the phone never fabricates a sample",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_completeness": {
          "key": "accelerometer_completeness",
          "label": "accelerometer completeness against nominal rate",
          "value": 1.0497,
          "unit": "",
          "n": 15749,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "accelerometer_gaps_exported": {
          "key": "accelerometer_gaps_exported",
          "label": "accelerometer gaps recorded by the phone",
          "value": 628,
          "unit": "",
          "n": 15748,
          "window": [
            0.0,
            300.066579779
          ],
          "note": "from data_gaps.csv",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_samples": {
          "key": "gyroscope_samples",
          "label": "gyroscope samples",
          "value": 15749,
          "unit": "",
          "n": 15749,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_duration": {
          "key": "gyroscope_duration",
          "label": "gyroscope span, first to last sample",
          "value": 300.067,
          "unit": "s",
          "n": 15749,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_effective_rate": {
          "key": "gyroscope_effective_rate",
          "label": "gyroscope effective rate",
          "value": 52.48168589329567,
          "unit": "Hz",
          "n": 15749,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "nominal 50 Hz",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_median_interval": {
          "key": "gyroscope_median_interval",
          "label": "gyroscope median sample interval",
          "value": 19.054232999991427,
          "unit": "ms",
          "n": 15748,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_max_interval": {
          "key": "gyroscope_max_interval",
          "label": "gyroscope largest sample interval",
          "value": 19.054614999987507,
          "unit": "ms",
          "n": 15748,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_gaps": {
          "key": "gyroscope_gaps",
          "label": "gyroscope intervals over 1.5\u00d7 nominal",
          "value": 0,
          "unit": "",
          "n": 15748,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_missing_estimate": {
          "key": "gyroscope_missing_estimate",
          "label": "gyroscope samples missing across those gaps",
          "value": 0,
          "unit": "",
          "n": 15748,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "estimated from interval length; the phone never fabricates a sample",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_completeness": {
          "key": "gyroscope_completeness",
          "label": "gyroscope completeness against nominal rate",
          "value": 1.0497,
          "unit": "",
          "n": 15749,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "gyroscope_gaps_exported": {
          "key": "gyroscope_gaps_exported",
          "label": "gyroscope gaps recorded by the phone",
          "value": 627,
          "unit": "",
          "n": 15748,
          "window": [
            0.0,
            300.066580026
          ],
          "note": "from data_gaps.csv",
          "validity": "valid",
          "reason_code": ""
        },
        "exported_gap_rows": {
          "key": "exported_gap_rows",
          "label": "Rows in data_gaps.csv",
          "value": 2451,
          "unit": "",
          "n": 2451,
          "window": "whole run",
          "note": "",
          "validity": "valid",
          "reason_code": ""
        }
      },
      "caveats": [
        "calibrated: this recount found 0 gaps but data_gaps.csv records 598. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.",
        "uncalibrated: this recount found 0 gaps but data_gaps.csv records 598. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.",
        "accelerometer: this recount found 0 gaps but data_gaps.csv records 628. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.",
        "gyroscope: this recount found 0 gaps but data_gaps.csv records 627. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.",
        "Effective rate is (N\u22121)/span between the first and last sample, so a stream that stopped early reports a normal rate over a short span. Compare the span against the run duration."
      ],
      "per_block_calibrated_coverage": [
        {
          "block_index": 0,
          "n": 15004,
          "window_utc_ms": [
            1787023494482,
            1787023806525
          ],
          "effective_rate_hz": 48.0831167499351
        }
      ]
    },
    "warmup": {
      "status": "reported_unrecorded",
      "recorded_mask_s": [],
      "note": "Phone-first warm-up occurred before Room recording; CSV t=0 is the first measurement sample.",
      "app_version": "30"
    },
    "baseline_drift": {
      "summary": "calibrated |B| drifts 0.0430055 \u00b5T/s (12.9042 \u00b5T over 0.0\u2013300.1 s, N=15004)",
      "stats": {
        "calibrated_slope": {
          "key": "calibrated_slope",
          "label": "|B| slope, calibrated",
          "value": 0.04300552038880346,
          "unit": "\u00b5T/s",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "ordinary least squares on |B| against phone-clock time",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_slope_stderr": {
          "key": "calibrated_slope_stderr",
          "label": "Slope standard error, calibrated",
          "value": 0.0002928799450077332,
          "unit": "\u00b5T/s",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "assumes independent residuals; sensor noise is autocorrelated, so this is optimistic",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_total_change": {
          "key": "calibrated_total_change",
          "label": "Fitted change across the window, calibrated",
          "value": 12.904236432984456,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "slope \u00d7 300.1 s",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_residual_rms": {
          "key": "calibrated_residual_rms",
          "label": "Residual RMS after removing the slope, calibrated",
          "value": 3.1074964484849468,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_r_squared": {
          "key": "calibrated_r_squared",
          "label": "r\u00b2 of the linear fit, calibrated",
          "value": 0.5896946370704768,
          "unit": "",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "fraction of |B| variance the straight line accounts for",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_mean": {
          "key": "calibrated_mean",
          "label": "Mean |B|, calibrated",
          "value": 58.12507443841642,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_range": {
          "key": "calibrated_range",
          "label": "Peak-to-peak |B|, calibrated",
          "value": 27.559578000000002,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_slope_first_half": {
          "key": "calibrated_slope_first_half",
          "label": "Slope, first half, calibrated",
          "value": 0.10568495450656239,
          "unit": "\u00b5T/s",
          "n": 7502,
          "window": [
            0.0,
            150.020008507
          ],
          "note": "first vs second half",
          "validity": "valid",
          "reason_code": ""
        },
        "calibrated_slope_second_half": {
          "key": "calibrated_slope_second_half",
          "label": "Slope, second half, calibrated",
          "value": 0.0005339183979547015,
          "unit": "\u00b5T/s",
          "n": 7502,
          "window": [
            150.040009484,
            300.059999654
          ],
          "note": "first vs second half",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_slope": {
          "key": "uncalibrated_slope",
          "label": "|B| slope, uncalibrated",
          "value": 0.09371681429224947,
          "unit": "\u00b5T/s",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "ordinary least squares on |B| against phone-clock time",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_slope_stderr": {
          "key": "uncalibrated_slope_stderr",
          "label": "Slope standard error, uncalibrated",
          "value": 0.0013961061022307404,
          "unit": "\u00b5T/s",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "assumes independent residuals; sensor noise is autocorrelated, so this is optimistic",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_total_change": {
          "key": "uncalibrated_total_change",
          "label": "Fitted change across the window, uncalibrated",
          "value": 28.12066726410636,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "slope \u00d7 300.1 s",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_residual_rms": {
          "key": "uncalibrated_residual_rms",
          "label": "Residual RMS after removing the slope, uncalibrated",
          "value": 14.812877523163968,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_r_squared": {
          "key": "uncalibrated_r_squared",
          "label": "r\u00b2 of the linear fit, uncalibrated",
          "value": 0.2309850227478093,
          "unit": "",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "fraction of |B| variance the straight line accounts for",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_mean": {
          "key": "uncalibrated_mean",
          "label": "Mean |B|, uncalibrated",
          "value": 240.9020055145295,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_range": {
          "key": "uncalibrated_range",
          "label": "Peak-to-peak |B|, uncalibrated",
          "value": 88.84110000000001,
          "unit": "\u00b5T",
          "n": 15004,
          "window": [
            0.0,
            300.059999654
          ],
          "note": "",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_slope_first_half": {
          "key": "uncalibrated_slope_first_half",
          "label": "Slope, first half, uncalibrated",
          "value": 0.32772659650690206,
          "unit": "\u00b5T/s",
          "n": 7502,
          "window": [
            0.0,
            150.020008507
          ],
          "note": "first vs second half",
          "validity": "valid",
          "reason_code": ""
        },
        "uncalibrated_slope_second_half": {
          "key": "uncalibrated_slope_second_half",
          "label": "Slope, second half, uncalibrated",
          "value": -0.0006811987399166252,
          "unit": "\u00b5T/s",
          "n": 7502,
          "window": [
            150.040009484,
            300.059999654
          ],
          "note": "first vs second half",
          "validity": "valid",
          "reason_code": ""
        }
      },
      "caveats": [
        "uncalibrated: the two halves drift in opposite directions, so the whole-run slope understates what the field actually did. Treat the single slope as a summary, not a description.",
        "A drift is what the instrument reported over this window. It does not identify a cause; temperature, the phone's own bias estimate and a real field change all look like this."
      ]
    },
    "motion": {
      "status": "review",
      "derived_trips": 3,
      "derived_trip_intervals": [
        {
          "start_s": 7.755058734,
          "end_s": 21.584950196,
          "peak_gyro_deg_s": 262.7784983698251,
          "peak_accel_dev_m_s2": 1.191865916825396
        },
        {
          "start_s": 47.349847252,
          "end_s": 57.349847252,
          "peak_gyro_deg_s": 1.0641363501343724,
          "peak_accel_dev_m_s2": 0.6836099168253966
        },
        {
          "start_s": 59.315917146,
          "end_s": 115.388906131,
          "peak_gyro_deg_s": 272.96326435577777,
          "peak_accel_dev_m_s2": 18.8878509168254
        }
      ],
      "exported_motion_gate_rows": 3,
      "orientation_artifact_channel": {
        "flagged": false,
        "perpendicular_sigma_nt": 28.269202577553013,
        "perpendicular_excursion_nt": 48540.805231270584,
        "n": 271,
        "window": [
          30.0,
          300.0
        ],
        "note": "Reported symmetrically as a diagnostic; it is not subtracted or used as a control."
      },
      "quiet_active_analysis": {
        "summary": "zero-lag r=0.15583 (N=15003); active/quiet SD ratio 21.8784\u00d7 (5.16037 vs 0.235866 \u00b5T)",
        "stats": {
          "gyro_median_rate": {
            "key": "gyro_median_rate",
            "label": "Median |\u03c9| over the run",
            "value": 0.001326002,
            "unit": "rad/s",
            "n": 15749,
            "window": "whole run",
            "note": "",
            "validity": "valid",
            "reason_code": ""
          },
          "gyro_p95_rate": {
            "key": "gyro_p95_rate",
            "label": "95th percentile |\u03c9|",
            "value": 0.1897731639999997,
            "unit": "rad/s",
            "n": 15749,
            "window": "whole run",
            "note": "",
            "validity": "valid",
            "reason_code": ""
          },
          "gyro_max_rate": {
            "key": "gyro_max_rate",
            "label": "Maximum |\u03c9|",
            "value": 4.7641077,
            "unit": "rad/s",
            "n": 15749,
            "window": "whole run",
            "note": "",
            "validity": "valid",
            "reason_code": ""
          },
          "corr_pearson_lag0": {
            "key": "corr_pearson_lag0",
            "label": "Pearson r, |\u03c9| vs |\u0394B| at zero lag",
            "value": 0.155830301623161,
            "unit": "",
            "n": 15003,
            "window": [
              0.020007386,
              300.059999654
            ],
            "note": "primary framing (a); no lag search involved",
            "validity": "valid",
            "reason_code": ""
          },
          "corr_p_lag0": {
            "key": "corr_p_lag0",
            "label": "p for zero-lag r, circular-shift null",
            "value": 0.002,
            "unit": "",
            "n": 15003,
            "window": [
              0.020007386,
              300.059999654
            ],
            "note": "999 circular shifts, two-sided; shifting preserves each series' autocorrelation",
            "validity": "valid",
            "reason_code": ""
          },
          "corr_spearman_lag0": {
            "key": "corr_spearman_lag0",
            "label": "Spearman \u03c1, |\u03c9| vs |\u0394B| at zero lag",
            "value": 0.06883284685853792,
            "unit": "",
            "n": 15003,
            "window": [
              0.020007386,
              300.059999654
            ],
            "note": "rank version, robust to the heavy tail in |\u0394B|",
            "validity": "valid",
            "reason_code": ""
          },
          "corr_r_squared_lag0": {
            "key": "corr_r_squared_lag0",
            "label": "r\u00b2 at zero lag (variance shared)",
            "value": 0.024283082903965334,
            "unit": "",
            "n": 15003,
            "window": [
              0.020007386,
              300.059999654
            ],
            "note": "effect size for framing (a)",
            "validity": "valid",
            "reason_code": ""
          },
          "corr_best_lag_s": {
            "key": "corr_best_lag_s",
            "label": "Lag with the largest |r| (exploratory)",
            "value": 0.0,
            "unit": "s",
            "n": 15003,
            "window": [
              0.020007386,
              300.059999654
            ],
            "note": "21 lags tested from -1 to 1 s",
            "validity": "valid",
            "reason_code": ""
          },
          "corr_best_lag_r": {
            "key": "corr_best_lag_r",
            "label": "Pearson r at that lag (exploratory)",
            "value": 0.155830301623161,
            "unit": "",
            "n": 15003,
            "window": [
              0.020007386,
              300.059999654
            ],
            "note": "selected out of 21 comparisons \u2014 not corrected, not a test",
            "validity": "valid",
            "reason_code": ""
          },
          "corr_lags_tested": {
            "key": "corr_lags_tested",
            "label": "Number of lags compared",
            "value": 21,
            "unit": "",
            "n": 15003,
            "window": [
              0.020007386,
              300.059999654
            ],
            "note": "",
            "validity": "valid",
            "reason_code": ""
          },
          "regime_threshold": {
            "key": "regime_threshold",
            "label": "Angular-rate threshold splitting quiet from active",
            "value": 0.02,
            "unit": "rad/s",
            "n": null,
            "window": null,
            "note": "minimum span 2 s; stated in advance, not fitted to these data",
            "validity": "valid",
            "reason_code": ""
          },
          "regime_quiet_seconds": {
            "key": "regime_quiet_seconds",
            "label": "Gyro-quiet time",
            "value": 271.36,
            "unit": "s",
            "n": 13573,
            "window": "0.0\u20137.7, 11.6\u201359.3, 59.3\u201367.2, \u2026 (5 spans) s",
            "note": "",
            "validity": "valid",
            "reason_code": ""
          },
          "regime_active_seconds": {
            "key": "regime_active_seconds",
            "label": "Gyro-active time",
            "value": 19.98,
            "unit": "s",
            "n": 1001,
            "window": "67.6\u201376.2, 83.2\u201394.6 s",
            "note": "",
            "validity": "valid",
            "reason_code": ""
          },
          "calibrated_quiet_sd": {
            "key": "calibrated_quiet_sd",
            "label": "|B| SD in gyro-quiet windows, calibrated",
            "value": 0.23586636323744503,
            "unit": "\u00b5T",
            "n": 13569,
            "window": "0.0\u20137.7, 11.6\u201359.3, 59.3\u201367.2, \u2026 (5 spans) s",
            "note": "57 windows of 5 s",
            "validity": "valid",
            "reason_code": ""
          },
          "calibrated_active_sd": {
            "key": "calibrated_active_sd",
            "label": "|B| SD in gyro-active windows, calibrated",
            "value": 5.160373530669735,
            "unit": "\u00b5T",
            "n": 1001,
            "window": "67.6\u201376.2, 83.2\u201394.6 s",
            "note": "6 windows of 5 s",
            "validity": "valid",
            "reason_code": ""
          },
          "calibrated_sd_ratio": {
            "key": "calibrated_sd_ratio",
            "label": "SD ratio active/quiet, calibrated",
            "value": 21.878378331864226,
            "unit": "\u00d7",
            "n": 14570,
            "window": "quiet and active windows pooled separately",
            "note": "effect size: 1.0 means motion made no difference",
            "validity": "valid",
            "reason_code": ""
          },
          "calibrated_window_sd_p": {
            "key": "calibrated_window_sd_p",
            "label": "Mann\u2013Whitney p on per-window SDs, calibrated",
            "value": 2.9435347180574272e-08,
            "unit": "",
            "n": 63,
            "window": "57 quiet vs 6 active windows",
            "note": "windows, not samples, are the unit here",
            "validity": "valid",
            "reason_code": ""
          },
          "calibrated_window_sd_effect": {
            "key": "calibrated_window_sd_effect",
            "label": "Rank-biserial effect size, calibrated",
            "value": -1.0,
            "unit": "",
            "n": 63,
            "window": "57 quiet vs 6 active windows",
            "note": "+1 = every active window noisier than every quiet one",
            "validity": "valid",
            "reason_code": ""
          },
          "uncalibrated_quiet_sd": {
            "key": "uncalibrated_quiet_sd",
            "label": "|B| SD in gyro-quiet windows, uncalibrated",
            "value": 0.21226885031908285,
            "unit": "\u00b5T",
            "n": 13569,
            "window": "0.0\u20137.7, 11.6\u201359.3, 59.3\u201367.2, \u2026 (5 spans) s",
            "note": "57 windows of 5 s",
            "validity": "valid",
            "reason_code": ""
          },
          "uncalibrated_active_sd": {
            "key": "uncalibrated_active_sd",
            "label": "|B| SD in gyro-active windows, uncalibrated",
            "value": 13.337937598896495,
            "unit": "\u00b5T",
            "n": 1001,
            "window": "67.6\u201376.2, 83.2\u201394.6 s",
            "note": "6 windows of 5 s",
            "validity": "valid",
            "reason_code": ""
          },
          "uncalibrated_sd_ratio": {
            "key": "uncalibrated_sd_ratio",
            "label": "SD ratio active/quiet, uncalibrated",
            "value": 62.83511489720177,
            "unit": "\u00d7",
            "n": 14570,
            "window": "quiet and active windows pooled separately",
            "note": "effect size: 1.0 means motion made no difference",
            "validity": "valid",
            "reason_code": ""
          },
          "uncalibrated_window_sd_p": {
            "key": "uncalibrated_window_sd_p",
            "label": "Mann\u2013Whitney p on per-window SDs, uncalibrated",
            "value": 2.9435347180574272e-08,
            "unit": "",
            "n": 63,
            "window": "57 quiet vs 6 active windows",
            "note": "windows, not samples, are the unit here",
            "validity": "valid",
            "reason_code": ""
          },
          "uncalibrated_window_sd_effect": {
            "key": "uncalibrated_window_sd_effect",
            "label": "Rank-biserial effect size, uncalibrated",
            "value": -1.0,
            "unit": "",
            "n": 63,
            "window": "57 quiet vs 6 active windows",
            "note": "+1 = every active window noisier than every quiet one",
            "validity": "valid",
            "reason_code": ""
          }
        },
        "caveats": [
          "23 exploratory comparisons were made in this run and none are corrected for multiplicity. The zero-lag correlation and the regime SD ratio are the two figures stated in advance; the best-lag number is a search result and should be treated as a hypothesis, not a finding.",
          "The quiet/active threshold is provisional (docs/analysis-model.md). Rerunning with a different threshold will change these numbers, and a threshold chosen after seeing the result is not a test.",
          "This measures the phone's magnetometer while the phone moves. It says nothing about the source of any field change, and it is not a pre-registered test of the pinwheel hypothesis."
        ]
      },
      "note": "Gyro quiet/active split and motion-gate trips are both reported; they use distinct established thresholds."
    },
    "thermal": {
      "status": "pass",
      "temperature_start_c": {
        "value": 28.0,
        "unit": "\u00b0C",
        "n": 1,
        "window": [
          0.0,
          0.0
        ],
        "validity": "valid",
        "reason_code": "",
        "note": ""
      },
      "temperature_end_c": {
        "value": 28.0,
        "unit": "\u00b0C",
        "n": 1,
        "window": [
          310.408,
          310.408
        ],
        "validity": "valid",
        "reason_code": "",
        "note": ""
      },
      "temperature_range_c": {
        "value": 0.0,
        "unit": "\u00b0C",
        "n": 32,
        "window": [
          0.0,
          310.408
        ],
        "validity": "valid",
        "reason_code": "",
        "note": ""
      },
      "temperature_slope_c_per_min": {
        "value": -3.5109467126087344e-15,
        "unit": "\u00b0C/min",
        "n": 32,
        "window": [
          0.0,
          310.408
        ],
        "validity": "valid",
        "reason_code": "",
        "note": ""
      },
      "max_thermal_status": {
        "value": 0,
        "unit": "code",
        "n": 32,
        "window": "whole run",
        "validity": "valid",
        "reason_code": "",
        "note": ""
      },
      "estimated_sitting_elapsed_s": {
        "value": 372.28,
        "unit": "s",
        "n": null,
        "window": "warm-up + recording",
        "validity": "valid",
        "reason_code": "",
        "note": "Known Pixel 7 knee is approximately 7\u20138 minutes; association is not causation."
      },
      "charging_states": [
        "DISCHARGING"
      ],
      "screen_states": [
        "ON"
      ]
    },
    "ambient": {
      "status": "available",
      "reason_code": "",
      "install_id": "60081111-cf52-4924-be09-405fd20a86f8",
      "day_utc": "20260818",
      "rows_day": 1241,
      "rows_context": 42,
      "ambient_control_windows": 41,
      "ambient_delta_mean_nt": 143.28,
      "ambient_delta_median_nt": 1.14,
      "ambient_windows_more_positive_fraction": 0.0,
      "window_utc_ms": [
        1787023194386,
        1787024106666
      ],
      "note": "Ambient context includes non-overlapping 300-second windows using the same 0\u201330 s versus 240\u2013300 s outcome."
    },
    "rolling_anomaly": {
      "version": "maglab-rolling-feedback-v1",
      "hop_s": 1,
      "window_lengths_s": [
        10,
        20,
        30
      ],
      "drift_sigma_nt": 1838.917322106538,
      "denominator_floor_nt": 1.0,
      "rows": 843,
      "valid_rows": 517,
      "top_candidate_windows": [
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          "window_start_s": 280.0,
          "window_end_s": 290.0,
          "window_length_s": 10,
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          "raw_score": 6.183336577075999,
          "score": 6.183336577075999,
          "valid": true,
          "invalid_reasons": "",
          "signed_change_nt": 11370.644740000003,
          "absolute_change_nt": 11370.644740000003,
          "motion_fraction": 0.0,
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        {
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          "signed_change_nt": 11365.643642000003,
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          "score": 6.180580116011073,
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        {
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          "score": 6.180193694070593,
          "valid": true,
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          "signed_change_nt": 11364.865238000008,
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        {
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          "score": 6.178747326706479,
          "valid": true,
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          "signed_change_nt": 11362.205488000009,
          "absolute_change_nt": 11362.205488000009,
          "motion_fraction": 0.0,
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        {
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          "window_length_s": 20,
          "n": 1000,
          "raw_score": 6.177967970841605,
          "score": 6.177967970841605,
          "valid": true,
          "invalid_reasons": "",
          "signed_change_nt": 11360.772317000006,
          "absolute_change_nt": 11360.772317000006,
          "motion_fraction": 0.0,
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          "normalization_denominator_nt": 1838.917322106538
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        {
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          "window_length_s": 20,
          "n": 1000,
          "raw_score": 6.177338675556774,
          "score": 6.177338675556774,
          "valid": true,
          "invalid_reasons": "",
          "signed_change_nt": 11359.61509500001,
          "absolute_change_nt": 11359.61509500001,
          "motion_fraction": 0.0,
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        {
          "window_start_s": 286.0,
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          "window_length_s": 10,
          "n": 500,
          "raw_score": 6.177188614976731,
          "score": 6.177188614976731,
          "valid": true,
          "invalid_reasons": "",
          "signed_change_nt": 11359.339146000004,
          "absolute_change_nt": 11359.339146000004,
          "motion_fraction": 0.0,
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          "normalization_denominator_nt": 1838.917322106538
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        {
          "window_start_s": 271.0,
          "window_end_s": 291.0,
          "window_length_s": 20,
          "n": 1000,
          "raw_score": 6.177075638717545,
          "score": 6.177075638717545,
          "valid": true,
          "invalid_reasons": "",
          "signed_change_nt": 11359.131392000001,
          "absolute_change_nt": 11359.131392000001,
          "motion_fraction": 0.0,
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      ],
      "note": "Scores use feedback_meter level/drift_sigma. Both signs are treated symmetrically; ranked windows are descriptive."
    }
  }
}
