{ "schema_version": "maglab-standard-report-v3", "run": 100662, "generated_utc": "2026-08-26T00:27:04+00:00", "analyzer_version": "maglab-analyzer v18", "analysis_model_id": "maglab-analysis-v1", "run_header": { "run": 100662, "session_id": "095cee18-32bc-473d-8d22-9a3e40b04e6f", "started_utc_ms": 1787703514411, "duration_s": 360.387, "samples": { "calibrated": 17990, "uncalibrated": 17990, "accelerometer": 21393, "gyroscope": 21397 }, "magnetometer_accuracy_codes": "2\u00d717990", "requested_delay_us": 20000, "app_version": "49C", "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": 1500, "outcome_n": 3000, "reference_window_s": [ 0.0, 30.0 ], "outcome_window_s": [ 240.0, 300.0 ], "reference_actual_bounds_s": [ 0.0, 29.98001042 ], "outcome_actual_bounds_s": [ 240.014051348, 299.99404689 ], "run_seconds": 359.814046706, "signed_delta_nt": -888.6, "absolute_delta_nt": 888.6, "delta_pct": -1.635, "reference_magnitude_ut": 54.348389, "outcome_magnitude_ut": 53.459756, "angle_deg": 1.018, "ambient_ut": 54.04 }, "practitioner_comparison": { "available": false, "reason": "not_a_cherylee_primary_run" }, "overall_quality": "COMPLETE", "summary": "CONTROL; -888.6 nT; complete", "checks": { "readiness": { "status": "pass", "analyzable": true, "missing_streams": [], "session_type": "PHONE_FIRST_SESSION", "app_version": "49C", "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": 17990, "unit": "samples", "n": 17990, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "uncalibrated": { "value": 17990, "unit": "samples", "n": 17990, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "accelerometer": { "value": 21393, "unit": "samples", "n": 21393, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "gyroscope": { "value": 21397, "unit": "samples", "n": 21397, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" } } }, "sampling": { "summary": "calibrated magnetometer 49.9953 Hz effective over N=17990 samples, 1 gaps", "stats": { "calibrated_samples": { "key": "calibrated_samples", "label": "calibrated samples", "value": 17990, "unit": "", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_duration": { "key": "calibrated_duration", "label": "calibrated span, first to last sample", "value": 359.814, "unit": "s", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_effective_rate": { "key": "calibrated_effective_rate", "label": "calibrated effective rate", "value": 49.99526884701811, "unit": "Hz", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "calibrated_median_interval": { "key": "calibrated_median_interval", "label": "calibrated median sample interval", "value": 20.00004199999239, "unit": "ms", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_max_interval": { "key": "calibrated_max_interval", "label": "calibrated largest sample interval", "value": 53.262638000006746, "unit": "ms", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps": { "key": "calibrated_gaps", "label": "calibrated intervals over 1.5\u00d7 nominal", "value": 1, "unit": "", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_missing_estimate": { "key": "calibrated_missing_estimate", "label": "calibrated samples missing across those gaps", "value": 2, "unit": "", "n": 17989, "window": [ 0.0, 359.814046706 ], "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": 1.0, "unit": "", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps_exported": { "key": "calibrated_gaps_exported", "label": "calibrated gaps recorded by the phone", "value": 1, "unit": "", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "uncalibrated_samples": { "key": "uncalibrated_samples", "label": "uncalibrated samples", "value": 17990, "unit": "", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_duration": { "key": "uncalibrated_duration", "label": "uncalibrated span, first to last sample", "value": 359.814, "unit": "s", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_effective_rate": { "key": "uncalibrated_effective_rate", "label": "uncalibrated effective rate", "value": 49.99526884701811, "unit": "Hz", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "uncalibrated_median_interval": { "key": "uncalibrated_median_interval", "label": "uncalibrated median sample interval", "value": 20.00004199999239, "unit": "ms", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_max_interval": { "key": "uncalibrated_max_interval", "label": "uncalibrated largest sample interval", "value": 53.262638000006746, "unit": "ms", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps": { "key": "uncalibrated_gaps", "label": "uncalibrated intervals over 1.5\u00d7 nominal", "value": 1, "unit": "", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_missing_estimate": { "key": "uncalibrated_missing_estimate", "label": "uncalibrated samples missing across those gaps", "value": 2, "unit": "", "n": 17989, "window": [ 0.0, 359.814046706 ], "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": 1.0, "unit": "", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps_exported": { "key": "uncalibrated_gaps_exported", "label": "uncalibrated gaps recorded by the phone", "value": 1, "unit": "", "n": 17989, "window": [ 0.0, 359.814046706 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "accelerometer_samples": { "key": "accelerometer_samples", "label": "accelerometer samples", "value": 21393, "unit": "", "n": 21393, "window": [ 0.0, 360.000063006 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_duration": { "key": "accelerometer_duration", "label": "accelerometer span, first to last sample", "value": 360.0, "unit": "s", "n": 21393, "window": [ 0.0, 360.000063006 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_effective_rate": { "key": "accelerometer_effective_rate", "label": "accelerometer effective rate", "value": 59.422211822344785, "unit": "Hz", "n": 21393, "window": [ 0.0, 360.000063006 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "accelerometer_median_interval": { "key": "accelerometer_median_interval", "label": "accelerometer median sample interval", "value": 16.82856500000085, "unit": "ms", "n": 21392, "window": [ 0.0, 360.000063006 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_max_interval": { "key": "accelerometer_max_interval", "label": "accelerometer largest sample interval", "value": 18.971077000003334, "unit": "ms", "n": 21392, "window": [ 0.0, 360.000063006 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps": { "key": "accelerometer_gaps", "label": "accelerometer intervals over 1.5\u00d7 nominal", "value": 0, "unit": "", "n": 21392, "window": [ 0.0, 360.000063006 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_missing_estimate": { "key": "accelerometer_missing_estimate", "label": "accelerometer samples missing across those gaps", "value": 0, "unit": "", "n": 21392, "window": [ 0.0, 360.000063006 ], "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": 1.1885, "unit": "", "n": 21393, "window": [ 0.0, 360.000063006 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps_exported": { "key": "accelerometer_gaps_exported", "label": "accelerometer gaps recorded by the phone", "value": 0, "unit": "", "n": 21392, "window": [ 0.0, 360.000063006 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "gyroscope_samples": { "key": "gyroscope_samples", "label": "gyroscope samples", "value": 21397, "unit": "", "n": 21397, "window": [ 0.0, 359.89908753 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_duration": { "key": "gyroscope_duration", "label": "gyroscope span, first to last sample", "value": 359.899, "unit": "s", "n": 21397, "window": [ 0.0, 359.89908753 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_effective_rate": { "key": "gyroscope_effective_rate", "label": "gyroscope effective rate", "value": 59.44999790591717, "unit": "Hz", "n": 21397, "window": [ 0.0, 359.89908753 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "gyroscope_median_interval": { "key": "gyroscope_median_interval", "label": "gyroscope median sample interval", "value": 16.828564999997297, "unit": "ms", "n": 21396, "window": [ 0.0, 359.89908753 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_max_interval": { "key": "gyroscope_max_interval", "label": "gyroscope largest sample interval", "value": 45.98038000000315, "unit": "ms", "n": 21396, "window": [ 0.0, 359.89908753 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps": { "key": "gyroscope_gaps", "label": "gyroscope intervals over 1.5\u00d7 nominal", "value": 1, "unit": "", "n": 21396, "window": [ 0.0, 359.89908753 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_missing_estimate": { "key": "gyroscope_missing_estimate", "label": "gyroscope samples missing across those gaps", "value": 1, "unit": "", "n": 21396, "window": [ 0.0, 359.89908753 ], "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": 1.1891, "unit": "", "n": 21397, "window": [ 0.0, 359.89908753 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps_exported": { "key": "gyroscope_gaps_exported", "label": "gyroscope gaps recorded by the phone", "value": 0, "unit": "", "n": 21396, "window": [ 0.0, 359.89908753 ], "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": 17990, "window_utc_ms": [ 1787703514722, 1787703874791 ], "effective_rate_hz": 49.96264604839628 } ] }, "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": "49C" }, "baseline_drift": { "summary": "calibrated |B| drifts -0.00415719 \u00b5T/s (-1.49582 \u00b5T over 0.0\u2013359.8 s, N=17990)", "stats": { "calibrated_slope": { "key": "calibrated_slope", "label": "|B| slope, calibrated", "value": -0.004157190433277763, "unit": "\u00b5T/s", "n": 17990, "window": [ 0.0, 359.814046706 ], "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": 5.097946103117224e-05, "unit": "\u00b5T/s", "n": 17990, "window": [ 0.0, 359.814046706 ], "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": -1.4958155127251416, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "slope \u00d7 359.8 s", "validity": "valid", "reason_code": "" }, "calibrated_residual_rms": { "key": "calibrated_residual_rms", "label": "Residual RMS after removing the slope, calibrated", "value": 0.7102613717518134, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_r_squared": { "key": "calibrated_r_squared", "label": "r\u00b2 of the linear fit, calibrated", "value": 0.2699026970130399, "unit": "", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "calibrated_mean": { "key": "calibrated_mean", "label": "Mean |B|, calibrated", "value": 53.86519218943858, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_range": { "key": "calibrated_range", "label": "Peak-to-peak |B|, calibrated", "value": 6.5916640000000015, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_slope_first_half": { "key": "calibrated_slope_first_half", "label": "Slope, first half, calibrated", "value": -0.001977018187164794, "unit": "\u00b5T/s", "n": 8995, "window": [ 0.0, 179.914055327 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "calibrated_slope_second_half": { "key": "calibrated_slope_second_half", "label": "Slope, second half, calibrated", "value": -0.006305034281383497, "unit": "\u00b5T/s", "n": 8995, "window": [ 179.934055813, 359.814046706 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope": { "key": "uncalibrated_slope", "label": "|B| slope, uncalibrated", "value": -0.005679362046756887, "unit": "\u00b5T/s", "n": 17990, "window": [ 0.0, 359.814046706 ], "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": 6.238335853212601e-05, "unit": "\u00b5T/s", "n": 17990, "window": [ 0.0, 359.814046706 ], "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": -2.0435142407520663, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "slope \u00d7 359.8 s", "validity": "valid", "reason_code": "" }, "uncalibrated_residual_rms": { "key": "uncalibrated_residual_rms", "label": "Residual RMS after removing the slope, uncalibrated", "value": 0.8691439436446741, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_r_squared": { "key": "uncalibrated_r_squared", "label": "r\u00b2 of the linear fit, uncalibrated", "value": 0.31542681474073386, "unit": "", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "uncalibrated_mean": { "key": "uncalibrated_mean", "label": "Mean |B|, uncalibrated", "value": 116.35709557787659, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_range": { "key": "uncalibrated_range", "label": "Peak-to-peak |B|, uncalibrated", "value": 8.417659999999998, "unit": "\u00b5T", "n": 17990, "window": [ 0.0, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_first_half": { "key": "uncalibrated_slope_first_half", "label": "Slope, first half, uncalibrated", "value": -0.0031805937111344033, "unit": "\u00b5T/s", "n": 8995, "window": [ 0.0, 179.914055327 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_second_half": { "key": "uncalibrated_slope_second_half", "label": "Slope, second half, uncalibrated", "value": -0.008053891425917186, "unit": "\u00b5T/s", "n": 8995, "window": [ 179.934055813, 359.814046706 ], "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": "pass", "derived_trips": 0, "derived_trip_intervals": [], "exported_motion_gate_rows": 0, "orientation_artifact_channel": { "flagged": false, "perpendicular_sigma_nt": 7.656521065878675, "perpendicular_excursion_nt": 1142.2378208323441, "n": 330, "window": [ 30.0, 359.0 ], "note": "Reported symmetrically as a diagnostic; it is not subtracted or used as a control." }, "quiet_active_analysis": { "summary": "zero-lag r=-0.00170526 (N=17989)", "stats": { "gyro_median_rate": { "key": "gyro_median_rate", "label": "Median |\u03c9| over the run", "value": 0.00089048146, "unit": "rad/s", "n": 21397, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_p95_rate": { "key": "gyro_p95_rate", "label": "95th percentile |\u03c9|", "value": 0.0014407228, "unit": "rad/s", "n": 21397, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_max_rate": { "key": "gyro_max_rate", "label": "Maximum |\u03c9|", "value": 0.0022754217, "unit": "rad/s", "n": 21397, "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": -0.0017052575715750299, "unit": "", "n": 17989, "window": [ 0.020010824, 359.814046706 ], "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": 0.795, "unit": "", "n": 17989, "window": [ 0.020010824, 359.814046706 ], "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": 0.0111221442057442, "unit": "", "n": 17989, "window": [ 0.020010824, 359.814046706 ], "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": 2.9079033854139683e-06, "unit": "", "n": 17989, "window": [ 0.020010824, 359.814046706 ], "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": -0.3, "unit": "s", "n": 17974, "window": [ 0.020010824, 359.814046706 ], "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": -0.0292451619291541, "unit": "", "n": 17974, "window": [ 0.020010824, 359.814046706 ], "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": 17989, "window": [ 0.020010824, 359.814046706 ], "note": "", "validity": "valid", "reason_code": "" }, "regime_comparison_possible": { "key": "regime_comparison_possible", "label": "Gyro-quiet vs gyro-active comparison possible", "value": false, "unit": "", "n": 21397, "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": 0.0022754217, "unit": "rad/s", "n": 21397, "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 0.0022754 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": 30.6, "unit": "\u00b0C", "n": 1, "window": [ 0.0, 0.0 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_end_c": { "value": 30.2, "unit": "\u00b0C", "n": 1, "window": [ 360.309, 360.309 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_range_c": { "value": 0.6000000000000014, "unit": "\u00b0C", "n": 37, "window": [ 0.0, 360.309 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_slope_c_per_min": { "value": -0.049460823238795006, "unit": "\u00b0C/min", "n": 37, "window": [ 0.0, 360.309 ], "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": 420.387, "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": "d79b64c4-a33e-41b9-a18d-72f999d96813", "day_utc": "20260826", "rows_day": 160, "rows_context": 78, "ambient_control_windows": 0, "ambient_delta_mean_nt": null, "ambient_delta_median_nt": null, "ambient_windows_more_positive_fraction": null, "window_utc_ms": [ 1787703214411, 1787704174798 ], "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": 66.65620122977302, "denominator_floor_nt": 1.0, "rows": 1020, "valid_rows": 960, "top_candidate_windows": [ { "window_start_s": 349.0, "window_end_s": 359.0, "window_length_s": 10, "n": 500, "raw_score": 22.211162442783223, "score": 22.211162442783223, "valid": true, "invalid_reasons": "", "signed_change_nt": -1480.5117133333354, "absolute_change_nt": 1480.5117133333354, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 348.0, "window_end_s": 358.0, "window_length_s": 10, "n": 500, "raw_score": 22.001035616747526, "score": 22.001035616747526, "valid": true, "invalid_reasons": "", "signed_change_nt": -1466.5054573333264, "absolute_change_nt": 1466.5054573333264, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 347.0, "window_end_s": 357.0, "window_length_s": 10, "n": 500, "raw_score": 21.56110796622153, "score": 21.56110796622153, "valid": true, "invalid_reasons": "", "signed_change_nt": -1437.1815513333245, "absolute_change_nt": 1437.1815513333245, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 346.0, "window_end_s": 356.0, "window_length_s": 10, "n": 500, "raw_score": 21.47921497053191, "score": 21.47921497053191, "valid": true, "invalid_reasons": "", "signed_change_nt": -1431.7228753333281, "absolute_change_nt": 1431.7228753333281, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 345.0, "window_end_s": 355.0, "window_length_s": 10, "n": 500, "raw_score": 21.329355905423075, "score": 21.329355905423075, "valid": true, "invalid_reasons": "", "signed_change_nt": -1421.733839333328, "absolute_change_nt": 1421.733839333328, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 344.0, "window_end_s": 354.0, "window_length_s": 10, "n": 500, "raw_score": 21.166943709704334, "score": 21.166943709704334, "valid": true, "invalid_reasons": "", "signed_change_nt": -1410.9080593333304, "absolute_change_nt": 1410.9080593333304, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 339.0, "window_end_s": 359.0, "window_length_s": 20, "n": 1000, "raw_score": 21.017070617393443, "score": 21.017070617393443, "valid": true, "invalid_reasons": "", "signed_change_nt": -1400.9180883333272, "absolute_change_nt": 1400.9180883333272, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 338.0, "window_end_s": 358.0, "window_length_s": 20, "n": 1000, "raw_score": 20.986200376335084, "score": 20.986200376335084, "valid": true, "invalid_reasons": "", "signed_change_nt": -1398.8603953333295, "absolute_change_nt": 1398.8603953333295, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 343.0, "window_end_s": 353.0, "window_length_s": 10, "n": 500, "raw_score": 20.734237772854218, "score": 20.734237772854218, "valid": true, "invalid_reasons": "", "signed_change_nt": -1382.0655253333314, "absolute_change_nt": 1382.0655253333314, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 }, { "window_start_s": 337.0, "window_end_s": 357.0, "window_length_s": 20, "n": 1000, "raw_score": 20.689024950274963, "score": 20.689024950274963, "valid": true, "invalid_reasons": "", "signed_change_nt": -1379.0518103333227, "absolute_change_nt": 1379.0518103333227, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 66.65620122977302 } ], "note": "Scores use feedback_meter level/drift_sigma. Both signs are treated symmetrically; ranked windows are descriptive." } } }