{ "schema_version": "maglab-standard-report-v3", "run": 100554, "generated_utc": "2026-08-24T23:29:06+00:00", "analyzer_version": "maglab-analyzer v18", "analysis_model_id": "maglab-analysis-v1", "run_header": { "run": 100554, "session_id": "7027aed6-167d-426b-bdad-978ec9b69b5a", "started_utc_ms": 1787613676805, "duration_s": 362.716, "samples": { "calibrated": 17999, "uncalibrated": 17999, "accelerometer": 18893, "gyroscope": 18894 }, "magnetometer_accuracy_codes": "1\u00d717999", "requested_delay_us": 20000, "app_version": "48G", "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", "nominal_hz": 50.0, "reference_n": 1495, "outcome_n": 3000, "reference_window_s": [ 0.0, 30.0 ], "outcome_window_s": [ 240.0, 300.0 ], "reference_actual_bounds_s": [ 0.0, 29.984041492 ], "outcome_actual_bounds_s": [ 240.004275162, 299.984115973 ], "run_seconds": 360.064111273, "signed_delta_nt": -349.7, "absolute_delta_nt": 349.7, "delta_pct": -0.562, "reference_magnitude_ut": 62.239027, "outcome_magnitude_ut": 61.889293, "angle_deg": 0.57, "ambient_ut": 62.1 }, "practitioner_comparison": { "available": false, "reason": "not_a_cherylee_primary_run" }, "overall_quality": "COMPLETE WITH DATA-QUALITY WARNING", "summary": "CONTROL; -349.7 nT; complete with data-quality warning", "checks": { "readiness": { "status": "pass", "analyzable": true, "missing_streams": [], "session_type": "PHONE_FIRST_SESSION", "app_version": "48G", "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": 17999, "unit": "samples", "n": 17999, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "uncalibrated": { "value": 17999, "unit": "samples", "n": 17999, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "accelerometer": { "value": 18893, "unit": "samples", "n": 18893, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "gyroscope": { "value": 18894, "unit": "samples", "n": 18894, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" } } }, "sampling": { "summary": "calibrated magnetometer 49.9855 Hz effective over N=17999 samples, 1 gaps", "stats": { "calibrated_samples": { "key": "calibrated_samples", "label": "calibrated samples", "value": 17999, "unit": "", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_duration": { "key": "calibrated_duration", "label": "calibrated span, first to last sample", "value": 360.064, "unit": "s", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_effective_rate": { "key": "calibrated_effective_rate", "label": "calibrated effective rate", "value": 49.98554267563186, "unit": "Hz", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "calibrated_median_interval": { "key": "calibrated_median_interval", "label": "calibrated median sample interval", "value": 20.003394500008653, "unit": "ms", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_max_interval": { "key": "calibrated_max_interval", "label": "calibrated largest sample interval", "value": 123.61747100000001, "unit": "ms", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps": { "key": "calibrated_gaps", "label": "calibrated intervals over 1.5\u00d7 nominal", "value": 1, "unit": "", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_missing_estimate": { "key": "calibrated_missing_estimate", "label": "calibrated samples missing across those gaps", "value": 5, "unit": "", "n": 17998, "window": [ 0.0, 360.064111273 ], "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": 0.9998, "unit": "", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps_exported": { "key": "calibrated_gaps_exported", "label": "calibrated gaps recorded by the phone", "value": 1, "unit": "", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "uncalibrated_samples": { "key": "uncalibrated_samples", "label": "uncalibrated samples", "value": 17999, "unit": "", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_duration": { "key": "uncalibrated_duration", "label": "uncalibrated span, first to last sample", "value": 360.064, "unit": "s", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_effective_rate": { "key": "uncalibrated_effective_rate", "label": "uncalibrated effective rate", "value": 49.98554267563186, "unit": "Hz", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "uncalibrated_median_interval": { "key": "uncalibrated_median_interval", "label": "uncalibrated median sample interval", "value": 20.003394500008653, "unit": "ms", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_max_interval": { "key": "uncalibrated_max_interval", "label": "uncalibrated largest sample interval", "value": 123.61747100000001, "unit": "ms", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps": { "key": "uncalibrated_gaps", "label": "uncalibrated intervals over 1.5\u00d7 nominal", "value": 1, "unit": "", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_missing_estimate": { "key": "uncalibrated_missing_estimate", "label": "uncalibrated samples missing across those gaps", "value": 5, "unit": "", "n": 17998, "window": [ 0.0, 360.064111273 ], "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": 0.9998, "unit": "", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps_exported": { "key": "uncalibrated_gaps_exported", "label": "uncalibrated gaps recorded by the phone", "value": 1, "unit": "", "n": 17998, "window": [ 0.0, 360.064111273 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "accelerometer_samples": { "key": "accelerometer_samples", "label": "accelerometer samples", "value": 18893, "unit": "", "n": 18893, "window": [ 0.0, 359.977102698 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_duration": { "key": "accelerometer_duration", "label": "accelerometer span, first to last sample", "value": 359.977, "unit": "s", "n": 18893, "window": [ 0.0, 359.977102698 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_effective_rate": { "key": "accelerometer_effective_rate", "label": "accelerometer effective rate", "value": 52.481115766547234, "unit": "Hz", "n": 18893, "window": [ 0.0, 359.977102698 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "accelerometer_median_interval": { "key": "accelerometer_median_interval", "label": "accelerometer median sample interval", "value": 19.054382999996733, "unit": "ms", "n": 18892, "window": [ 0.0, 359.977102698 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_max_interval": { "key": "accelerometer_max_interval", "label": "accelerometer largest sample interval", "value": 19.055627000000186, "unit": "ms", "n": 18892, "window": [ 0.0, 359.977102698 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps": { "key": "accelerometer_gaps", "label": "accelerometer intervals over 1.5\u00d7 nominal", "value": 0, "unit": "", "n": 18892, "window": [ 0.0, 359.977102698 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_missing_estimate": { "key": "accelerometer_missing_estimate", "label": "accelerometer samples missing across those gaps", "value": 0, "unit": "", "n": 18892, "window": [ 0.0, 359.977102698 ], "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": 18893, "window": [ 0.0, 359.977102698 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps_exported": { "key": "accelerometer_gaps_exported", "label": "accelerometer gaps recorded by the phone", "value": 0, "unit": "", "n": 18892, "window": [ 0.0, 359.977102698 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "gyroscope_samples": { "key": "gyroscope_samples", "label": "gyroscope samples", "value": 18894, "unit": "", "n": 18894, "window": [ 0.0, 360.058184347 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_duration": { "key": "gyroscope_duration", "label": "gyroscope span, first to last sample", "value": 360.058, "unit": "s", "n": 18894, "window": [ 0.0, 360.058184347 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_effective_rate": { "key": "gyroscope_effective_rate", "label": "gyroscope effective rate", "value": 52.47207485163617, "unit": "Hz", "n": 18894, "window": [ 0.0, 360.058184347 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "gyroscope_median_interval": { "key": "gyroscope_median_interval", "label": "gyroscope median sample interval", "value": 19.054382999996733, "unit": "ms", "n": 18893, "window": [ 0.0, 360.058184347 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_max_interval": { "key": "gyroscope_max_interval", "label": "gyroscope largest sample interval", "value": 81.081649, "unit": "ms", "n": 18893, "window": [ 0.0, 360.058184347 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps": { "key": "gyroscope_gaps", "label": "gyroscope intervals over 1.5\u00d7 nominal", "value": 1, "unit": "", "n": 18893, "window": [ 0.0, 360.058184347 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_missing_estimate": { "key": "gyroscope_missing_estimate", "label": "gyroscope samples missing across those gaps", "value": 3, "unit": "", "n": 18893, "window": [ 0.0, 360.058184347 ], "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": 1.0495, "unit": "", "n": 18894, "window": [ 0.0, 360.058184347 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps_exported": { "key": "gyroscope_gaps_exported", "label": "gyroscope gaps recorded by the phone", "value": 0, "unit": "", "n": 18893, "window": [ 0.0, 360.058184347 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "exported_gap_rows": { "key": "exported_gap_rows", "label": "Rows in data_gaps.csv", "value": 2, "unit": "", "n": 2, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" } }, "caveats": [ "gyroscope: this recount found 1 gaps but data_gaps.csv records 0. 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": 17998, "window_utc_ms": [ 1787613676956, 1787614039503 ], "effective_rate_hz": 49.64321867233765 } ] }, "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": "48G" }, "baseline_drift": { "summary": "calibrated |B| drifts -0.00141996 \u00b5T/s (-0.511275 \u00b5T over 0.0\u2013360.1 s, N=17999)", "stats": { "calibrated_slope": { "key": "calibrated_slope", "label": "|B| slope, calibrated", "value": -0.0014199566761930534, "unit": "\u00b5T/s", "n": 17999, "window": [ 0.0, 360.064111273 ], "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": 1.4085969953029861e-05, "unit": "\u00b5T/s", "n": 17999, "window": [ 0.0, 360.064111273 ], "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": -0.5112754386596148, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "slope \u00d7 360.1 s", "validity": "valid", "reason_code": "" }, "calibrated_residual_rms": { "key": "calibrated_residual_rms", "label": "Residual RMS after removing the slope, calibrated", "value": 0.1963697592992191, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_r_squared": { "key": "calibrated_r_squared", "label": "r\u00b2 of the linear fit, calibrated", "value": 0.36087795536172695, "unit": "", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "calibrated_mean": { "key": "calibrated_mean", "label": "Mean |B|, calibrated", "value": 62.09105199977777, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_range": { "key": "calibrated_range", "label": "Peak-to-peak |B|, calibrated", "value": 1.6083110000000005, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_slope_first_half": { "key": "calibrated_slope_first_half", "label": "Slope, first half, calibrated", "value": -0.00025662131130891914, "unit": "\u00b5T/s", "n": 8999, "window": [ 0.0, 180.064336833 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "calibrated_slope_second_half": { "key": "calibrated_slope_second_half", "label": "Slope, second half, calibrated", "value": -0.002524278715964261, "unit": "\u00b5T/s", "n": 9000, "window": [ 180.08433006, 360.064111273 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope": { "key": "uncalibrated_slope", "label": "|B| slope, uncalibrated", "value": -0.0014562158581670503, "unit": "\u00b5T/s", "n": 17999, "window": [ 0.0, 360.064111273 ], "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": 1.7990543793783358e-05, "unit": "\u00b5T/s", "n": 17999, "window": [ 0.0, 360.064111273 ], "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": -0.524331068792568, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "slope \u00d7 360.1 s", "validity": "valid", "reason_code": "" }, "uncalibrated_residual_rms": { "key": "uncalibrated_residual_rms", "label": "Residual RMS after removing the slope, uncalibrated", "value": 0.25080266152969183, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_r_squared": { "key": "uncalibrated_r_squared", "label": "r\u00b2 of the linear fit, uncalibrated", "value": 0.2668898450187944, "unit": "", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "uncalibrated_mean": { "key": "uncalibrated_mean", "label": "Mean |B|, uncalibrated", "value": 225.47187544252458, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_range": { "key": "uncalibrated_range", "label": "Peak-to-peak |B|, uncalibrated", "value": 2.1864400000000046, "unit": "\u00b5T", "n": 17999, "window": [ 0.0, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_first_half": { "key": "uncalibrated_slope_first_half", "label": "Slope, first half, uncalibrated", "value": -0.0008818449152367664, "unit": "\u00b5T/s", "n": 8999, "window": [ 0.0, 180.064336833 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_second_half": { "key": "uncalibrated_slope_second_half", "label": "Slope, second half, uncalibrated", "value": -0.0016194085515622346, "unit": "\u00b5T/s", "n": 9000, "window": [ 180.08433006, 360.064111273 ], "note": "first vs second half", "validity": "valid", "reason_code": "" } }, "caveats": [ "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": 1, "derived_trip_intervals": [ { "start_s": 0.081081649, "end_s": 10.081081649, "peak_gyro_deg_s": 13.558221735503738, "peak_accel_dev_m_s2": 0.0049168753180648395 } ], "exported_motion_gate_rows": 0, "orientation_artifact_channel": { "flagged": true, "perpendicular_sigma_nt": 6.02541487121732, "perpendicular_excursion_nt": 657.8198231192735, "n": 331, "window": [ 30.0, 360.0 ], "note": "Reported symmetrically as a diagnostic; it is not subtracted or used as a control." }, "quiet_active_analysis": { "summary": "zero-lag r=0.00822617 (N=17998)", "stats": { "gyro_median_rate": { "key": "gyro_median_rate", "label": "Median |\u03c9| over the run", "value": 0.0011421607, "unit": "rad/s", "n": 18894, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_p95_rate": { "key": "gyro_p95_rate", "label": "95th percentile |\u03c9|", "value": 0.0020487038, "unit": "rad/s", "n": 18894, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_max_rate": { "key": "gyro_max_rate", "label": "Maximum |\u03c9|", "value": 0.23663561, "unit": "rad/s", "n": 18894, "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": 0.00822616512180826, "unit": "", "n": 17998, "window": [ 0.123617471, 360.064111273 ], "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": 0.287, "unit": "", "n": 17998, "window": [ 0.123617471, 360.064111273 ], "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": 0.009223563835889244, "unit": "", "n": 17998, "window": [ 0.123617471, 360.064111273 ], "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": 6.766979261125471e-05, "unit": "", "n": 17998, "window": [ 0.123617471, 360.064111273 ], "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": -0.2, "unit": "s", "n": 17988, "window": [ 0.123617471, 360.064111273 ], "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": 0.02003078670588456, "unit": "", "n": 17988, "window": [ 0.123617471, 360.064111273 ], "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": 17998, "window": [ 0.123617471, 360.064111273 ], "note": "", "validity": "valid", "reason_code": "" }, "regime_comparison_possible": { "key": "regime_comparison_possible", "label": "Gyro-quiet vs gyro-active comparison possible", "value": false, "unit": "", "n": 18894, "window": "whole run", "note": "1 quiet and 0 active spans of at least 2 s at 0.02 rad/s", "validity": "valid", "reason_code": "" }, "regime_peak_rate": { "key": "regime_peak_rate", "label": "Peak |\u03c9| against the threshold", "value": 0.23663561, "unit": "rad/s", "n": 18894, "window": "whole run", "note": "threshold 0.02 rad/s", "validity": "valid", "reason_code": "" } }, "caveats": [ "Regime framing skipped: the run has 1 quiet and 0 active spans of at least 2 s at a 0.02 rad/s threshold, so there is nothing to compare. Peak |\u03c9| in the whole run was 0.23664 rad/s. Lowering the threshold until a split appears would be choosing it from the data it then divides, so this analyzer does not do that; a run with deliberate phone movement is what would answer the question.", "21 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": "review", "temperature_start_c": { "value": 29.0, "unit": "\u00b0C", "n": 1, "window": [ 0.0, 0.0 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_end_c": { "value": 29.0, "unit": "\u00b0C", "n": 1, "window": [ 360.272, 360.272 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_range_c": { "value": 0.0, "unit": "\u00b0C", "n": 37, "window": [ 0.0, 360.272 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_slope_c_per_min": { "value": -8.594558784435548e-16, "unit": "\u00b0C/min", "n": 37, "window": [ 0.0, 360.272 ], "validity": "valid", "reason_code": "", "note": "" }, "max_thermal_status": { "value": 0, "unit": "code", "n": 37, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "estimated_sitting_elapsed_s": { "value": 422.716, "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": "7006b003-f48a-4ea5-b7e6-77fc888f5249", "day_utc": "20260824", "rows_day": 8443, "rows_context": 67, "ambient_control_windows": 209, "ambient_delta_mean_nt": 164.34, "ambient_delta_median_nt": -1.02, "ambient_windows_more_positive_fraction": 0.962, "window_utc_ms": [ 1787613376805, 1787614339521 ], "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": 49.80023338556219, "denominator_floor_nt": 1.0, "rows": 1023, "valid_rows": 990, "top_candidate_windows": [ { "window_start_s": 334.0, "window_end_s": 344.0, "window_length_s": 10, "n": 500, "raw_score": 8.568901403909768, "score": 8.568901403909768, "valid": true, "invalid_reasons": "", "signed_change_nt": -426.73328977257796, "absolute_change_nt": 426.73328977257796, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 337.0, "window_end_s": 347.0, "window_length_s": 10, "n": 500, "raw_score": 8.518735494431612, "score": 8.518735494431612, "valid": true, "invalid_reasons": "", "signed_change_nt": -424.2350157725667, "absolute_change_nt": 424.2350157725667, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 335.0, "window_end_s": 345.0, "window_length_s": 10, "n": 500, "raw_score": 8.516223779295089, "score": 8.516223779295089, "valid": true, "invalid_reasons": "", "signed_change_nt": -424.10993177256984, "absolute_change_nt": 424.10993177256984, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 338.0, "window_end_s": 348.0, "window_length_s": 10, "n": 500, "raw_score": 8.513712104319023, "score": 8.513712104319023, "valid": true, "invalid_reasons": "", "signed_change_nt": -423.9848497725731, "absolute_change_nt": 423.9848497725731, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 333.0, "window_end_s": 343.0, "window_length_s": 10, "n": 500, "raw_score": 8.510263807226208, "score": 8.510263807226208, "valid": true, "invalid_reasons": "", "signed_change_nt": -423.8131237725682, "absolute_change_nt": 423.8131237725682, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 339.0, "window_end_s": 349.0, "window_length_s": 10, "n": 500, "raw_score": 8.479617043220532, "score": 8.479617043220532, "valid": true, "invalid_reasons": "", "signed_change_nt": -422.2869077725733, "absolute_change_nt": 422.2869077725733, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 332.0, "window_end_s": 342.0, "window_length_s": 10, "n": 500, "raw_score": 8.472025954297978, "score": 8.472025954297978, "valid": true, "invalid_reasons": "", "signed_change_nt": -421.90886977257946, "absolute_change_nt": 421.90886977257946, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 336.0, "window_end_s": 346.0, "window_length_s": 10, "n": 500, "raw_score": 8.435803875055148, "score": 8.435803875055148, "valid": true, "invalid_reasons": "", "signed_change_nt": -420.10500177257626, "absolute_change_nt": 420.10500177257626, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 341.0, "window_end_s": 351.0, "window_length_s": 10, "n": 500, "raw_score": 8.424475454249805, "score": 8.424475454249805, "valid": true, "invalid_reasons": "", "signed_change_nt": -419.5408437725803, "absolute_change_nt": 419.5408437725803, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 }, { "window_start_s": 340.0, "window_end_s": 350.0, "window_length_s": 10, "n": 500, "raw_score": 8.411082143522735, "score": 8.411082143522735, "valid": true, "invalid_reasons": "", "signed_change_nt": -418.8738537725669, "absolute_change_nt": 418.8738537725669, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 49.80023338556219 } ], "note": "Scores use feedback_meter level/drift_sigma. Both signs are treated symmetrically; ranked windows are descriptive." } } }