{ "schema_version": "maglab-standard-report-v3", "run": 100382, "generated_utc": "2026-08-21T17:07:10+00:00", "analyzer_version": "maglab-analyzer v16", "analysis_model_id": "maglab-analysis-v1", "run_header": { "run": 100382, "session_id": "df86c020-3657-4fe2-9371-2884218f4fff", "started_utc_ms": 1787331621730, "duration_s": 300.174, "samples": { "calibrated": 15001, "uncalibrated": 15001, "accelerometer": 4553, "gyroscope": 16045 }, "magnetometer_accuracy_codes": "3\u00d715001", "requested_delay_us": 20000, "app_version": "38", "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, 29.980572735 ], "outcome_actual_bounds_s": [ 240.000568852, 299.980573106 ], "run_seconds": 300.000568957, "signed_delta_nt": 519.1, "absolute_delta_nt": 519.1, "delta_pct": 1.239, "reference_magnitude_ut": 41.89283, "outcome_magnitude_ut": 42.411887, "angle_deg": 0.487, "ambient_ut": 42.09 }, "practitioner_comparison": { "available": false, "reason": "not_a_cherylee_primary_run" }, "overall_quality": "COMPLETE", "summary": "CONTROL; +519.1 nT; complete", "checks": { "readiness": { "status": "pass", "analyzable": true, "missing_streams": [], "session_type": "PHONE_FIRST_SESSION", "app_version": "38", "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": 15001, "unit": "samples", "n": 15001, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "uncalibrated": { "value": 15001, "unit": "samples", "n": 15001, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "accelerometer": { "value": 4553, "unit": "samples", "n": 4553, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "gyroscope": { "value": 16045, "unit": "samples", "n": 16045, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" } } }, "sampling": { "summary": "calibrated magnetometer 49.9999 Hz effective over N=15001 samples, 0 gaps", "stats": { "calibrated_samples": { "key": "calibrated_samples", "label": "calibrated samples", "value": 15001, "unit": "", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_duration": { "key": "calibrated_duration", "label": "calibrated span, first to last sample", "value": 300.001, "unit": "s", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_effective_rate": { "key": "calibrated_effective_rate", "label": "calibrated effective rate", "value": 49.99990517401318, "unit": "Hz", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "calibrated_median_interval": { "key": "calibrated_median_interval", "label": "calibrated median sample interval", "value": 19.999463999994305, "unit": "ms", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_max_interval": { "key": "calibrated_max_interval", "label": "calibrated largest sample interval", "value": 20.316772999990462, "unit": "ms", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps": { "key": "calibrated_gaps", "label": "calibrated intervals over 1.5\u00d7 nominal", "value": 0, "unit": "", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_missing_estimate": { "key": "calibrated_missing_estimate", "label": "calibrated samples missing across those gaps", "value": 0, "unit": "", "n": 15000, "window": [ 0.0, 300.000568957 ], "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": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps_exported": { "key": "calibrated_gaps_exported", "label": "calibrated gaps recorded by the phone", "value": 2, "unit": "", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "uncalibrated_samples": { "key": "uncalibrated_samples", "label": "uncalibrated samples", "value": 15001, "unit": "", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_duration": { "key": "uncalibrated_duration", "label": "uncalibrated span, first to last sample", "value": 300.001, "unit": "s", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_effective_rate": { "key": "uncalibrated_effective_rate", "label": "uncalibrated effective rate", "value": 49.99990517401318, "unit": "Hz", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "uncalibrated_median_interval": { "key": "uncalibrated_median_interval", "label": "uncalibrated median sample interval", "value": 19.999463999994305, "unit": "ms", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_max_interval": { "key": "uncalibrated_max_interval", "label": "uncalibrated largest sample interval", "value": 20.316772999990462, "unit": "ms", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps": { "key": "uncalibrated_gaps", "label": "uncalibrated intervals over 1.5\u00d7 nominal", "value": 0, "unit": "", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_missing_estimate": { "key": "uncalibrated_missing_estimate", "label": "uncalibrated samples missing across those gaps", "value": 0, "unit": "", "n": 15000, "window": [ 0.0, 300.000568957 ], "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": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps_exported": { "key": "uncalibrated_gaps_exported", "label": "uncalibrated gaps recorded by the phone", "value": 2, "unit": "", "n": 15000, "window": [ 0.0, 300.000568957 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "accelerometer_samples": { "key": "accelerometer_samples", "label": "accelerometer samples", "value": 4553, "unit": "", "n": 4553, "window": [ 0.0, 299.996383994 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_duration": { "key": "accelerometer_duration", "label": "accelerometer span, first to last sample", "value": 299.996, "unit": "s", "n": 4553, "window": [ 0.0, 299.996383994 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_effective_rate": { "key": "accelerometer_effective_rate", "label": "accelerometer effective rate", "value": 15.173516225085704, "unit": "Hz", "n": 4553, "window": [ 0.0, 299.996383994 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "accelerometer_median_interval": { "key": "accelerometer_median_interval", "label": "accelerometer median sample interval", "value": 80.21237549999682, "unit": "ms", "n": 4552, "window": [ 0.0, 299.996383994 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_max_interval": { "key": "accelerometer_max_interval", "label": "accelerometer largest sample interval", "value": 80.21507000000838, "unit": "ms", "n": 4552, "window": [ 0.0, 299.996383994 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps": { "key": "accelerometer_gaps", "label": "accelerometer intervals over 1.5\u00d7 nominal", "value": 3470, "unit": "", "n": 4552, "window": [ 0.0, 299.996383994 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_missing_estimate": { "key": "accelerometer_missing_estimate", "label": "accelerometer samples missing across those gaps", "value": 10408, "unit": "", "n": 4552, "window": [ 0.0, 299.996383994 ], "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": 0.3035, "unit": "", "n": 4553, "window": [ 0.0, 299.996383994 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps_exported": { "key": "accelerometer_gaps_exported", "label": "accelerometer gaps recorded by the phone", "value": 0, "unit": "", "n": 4552, "window": [ 0.0, 299.996383994 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "gyroscope_samples": { "key": "gyroscope_samples", "label": "gyroscope samples", "value": 16045, "unit": "", "n": 16045, "window": [ 0.0, 300.006410455 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_duration": { "key": "gyroscope_duration", "label": "gyroscope span, first to last sample", "value": 300.006, "unit": "s", "n": 16045, "window": [ 0.0, 300.006410455 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_effective_rate": { "key": "gyroscope_effective_rate", "label": "gyroscope effective rate", "value": 53.47885725397374, "unit": "Hz", "n": 16045, "window": [ 0.0, 300.006410455 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "gyroscope_median_interval": { "key": "gyroscope_median_interval", "label": "gyroscope median sample interval", "value": 20.053204999989305, "unit": "ms", "n": 16044, "window": [ 0.0, 300.006410455 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_max_interval": { "key": "gyroscope_max_interval", "label": "gyroscope largest sample interval", "value": 20.053887000017312, "unit": "ms", "n": 16044, "window": [ 0.0, 300.006410455 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps": { "key": "gyroscope_gaps", "label": "gyroscope intervals over 1.5\u00d7 nominal", "value": 0, "unit": "", "n": 16044, "window": [ 0.0, 300.006410455 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_missing_estimate": { "key": "gyroscope_missing_estimate", "label": "gyroscope samples missing across those gaps", "value": 0, "unit": "", "n": 16044, "window": [ 0.0, 300.006410455 ], "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": 1.0696, "unit": "", "n": 16045, "window": [ 0.0, 300.006410455 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps_exported": { "key": "gyroscope_gaps_exported", "label": "gyroscope gaps recorded by the phone", "value": 2, "unit": "", "n": 16044, "window": [ 0.0, 300.006410455 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "exported_gap_rows": { "key": "exported_gap_rows", "label": "Rows in data_gaps.csv", "value": 6, "unit": "", "n": 6, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" } }, "caveats": [ "calibrated: this recount found 0 gaps but data_gaps.csv records 2. 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 2. 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 3470 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.", "gyroscope: this recount found 0 gaps but data_gaps.csv records 2. 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": 15000, "window_utc_ms": [ 1787331621820, 1787331921857 ], "effective_rate_hz": 49.9938340937951 } ] }, "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": "38" }, "baseline_drift": { "summary": "calibrated |B| drifts 0.00217939 \u00b5T/s (0.653818 \u00b5T over 0.0\u2013300.0 s, N=15001)", "stats": { "calibrated_slope": { "key": "calibrated_slope", "label": "|B| slope, calibrated", "value": 0.002179388791869824, "unit": "\u00b5T/s", "n": 15001, "window": [ 0.0, 300.000568957 ], "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": 9.41700298040587e-06, "unit": "\u00b5T/s", "n": 15001, "window": [ 0.0, 300.000568957 ], "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": 0.6538178775394561, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "slope \u00d7 300.0 s", "validity": "valid", "reason_code": "" }, "calibrated_residual_rms": { "key": "calibrated_residual_rms", "label": "Residual RMS after removing the slope, calibrated", "value": 0.09988580442707724, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_r_squared": { "key": "calibrated_r_squared", "label": "r\u00b2 of the linear fit, calibrated", "value": 0.7812262849495866, "unit": "", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "calibrated_mean": { "key": "calibrated_mean", "label": "Mean |B|, calibrated", "value": 42.116079636224256, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_range": { "key": "calibrated_range", "label": "Peak-to-peak |B|, calibrated", "value": 1.1406330000000011, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_slope_first_half": { "key": "calibrated_slope_first_half", "label": "Slope, first half, calibrated", "value": 0.001390923999887144, "unit": "\u00b5T/s", "n": 7500, "window": [ 0.0, 149.980572719 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "calibrated_slope_second_half": { "key": "calibrated_slope_second_half", "label": "Slope, second half, calibrated", "value": 0.00300470458673064, "unit": "\u00b5T/s", "n": 7501, "window": [ 150.000568688, 300.000568957 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope": { "key": "uncalibrated_slope", "label": "|B| slope, uncalibrated", "value": -0.002158755139385748, "unit": "\u00b5T/s", "n": 15001, "window": [ 0.0, 300.000568957 ], "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": 9.582925102177294e-06, "unit": "\u00b5T/s", "n": 15001, "window": [ 0.0, 300.000568957 ], "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": -0.6476277700545722, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "slope \u00d7 300.0 s", "validity": "valid", "reason_code": "" }, "uncalibrated_residual_rms": { "key": "uncalibrated_residual_rms", "label": "Residual RMS after removing the slope, uncalibrated", "value": 0.10164573427309069, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_r_squared": { "key": "uncalibrated_r_squared", "label": "r\u00b2 of the linear fit, uncalibrated", "value": 0.7718645324159883, "unit": "", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "uncalibrated_mean": { "key": "uncalibrated_mean", "label": "Mean |B|, uncalibrated", "value": 131.1382271115259, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_range": { "key": "uncalibrated_range", "label": "Peak-to-peak |B|, uncalibrated", "value": 1.1093600000000094, "unit": "\u00b5T", "n": 15001, "window": [ 0.0, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_first_half": { "key": "uncalibrated_slope_first_half", "label": "Slope, first half, uncalibrated", "value": -0.0017617300280671647, "unit": "\u00b5T/s", "n": 7500, "window": [ 0.0, 149.980572719 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_second_half": { "key": "uncalibrated_slope_second_half", "label": "Slope, second half, uncalibrated", "value": -0.0028842681597874825, "unit": "\u00b5T/s", "n": 7501, "window": [ 150.000568688, 300.000568957 ], "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": 4.741299504176708, "perpendicular_excursion_nt": 294.0097685431251, "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=0.00915883 (N=15000)", "stats": { "gyro_median_rate": { "key": "gyro_median_rate", "label": "Median |\u03c9| over the run", "value": 0.0008363798, "unit": "rad/s", "n": 16045, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_p95_rate": { "key": "gyro_p95_rate", "label": "95th percentile |\u03c9|", "value": 0.0016840242, "unit": "rad/s", "n": 16045, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_max_rate": { "key": "gyro_max_rate", "label": "Maximum |\u03c9|", "value": 0.004384935, "unit": "rad/s", "n": 16045, "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": 0.009158833554559728, "unit": "", "n": 15000, "window": [ 0.020004371, 300.000568957 ], "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": 0.514, "unit": "", "n": 15000, "window": [ 0.020004371, 300.000568957 ], "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": 0.02138386231497042, "unit": "", "n": 15000, "window": [ 0.020004371, 300.000568957 ], "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": 8.388423208012917e-05, "unit": "", "n": 15000, "window": [ 0.020004371, 300.000568957 ], "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": -0.9, "unit": "s", "n": 14955, "window": [ 0.020004371, 300.000568957 ], "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": -0.02071226150940202, "unit": "", "n": 14955, "window": [ 0.020004371, 300.000568957 ], "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": 15000, "window": [ 0.020004371, 300.000568957 ], "note": "", "validity": "valid", "reason_code": "" }, "regime_comparison_possible": { "key": "regime_comparison_possible", "label": "Gyro-quiet vs gyro-active comparison possible", "value": false, "unit": "", "n": 16045, "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": 0.004384935, "unit": "rad/s", "n": 16045, "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 0.0043849 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": "pass", "temperature_start_c": { "value": 25.0, "unit": "\u00b0C", "n": 1, "window": [ 0.0, 0.0 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_end_c": { "value": 25.0, "unit": "\u00b0C", "n": 1, "window": [ 290.209, 290.209 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_range_c": { "value": 0.0, "unit": "\u00b0C", "n": 30, "window": [ 0.0, 290.209 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_slope_c_per_min": { "value": -1.3948777726850235e-15, "unit": "\u00b0C/min", "n": 30, "window": [ 0.0, 290.209 ], "validity": "valid", "reason_code": "", "note": "" }, "max_thermal_status": { "value": 0, "unit": "code", "n": 30, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "estimated_sitting_elapsed_s": { "value": 360.174, "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": "8a3bf1c7-e780-4fb1-8672-1f872174d348", "day_utc": "20260821", "rows_day": 1171, "rows_context": 42, "ambient_control_windows": 39, "ambient_delta_mean_nt": -2231.42, "ambient_delta_median_nt": -1.06, "ambient_windows_more_positive_fraction": 0.051, "window_utc_ms": [ 1787331321730, 1787332221904 ], "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": 36.93605935715418, "denominator_floor_nt": 1.0, "rows": 843, "valid_rows": 843, "top_candidate_windows": [ { "window_start_s": 283.0, "window_end_s": 293.0, "window_length_s": 10, "n": 500, "raw_score": 18.43970350890783, "score": 18.43970350890783, "valid": true, "invalid_reasons": "", "signed_change_nt": 681.0899833333438, "absolute_change_nt": 681.0899833333438, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 284.0, "window_end_s": 294.0, "window_length_s": 10, "n": 500, "raw_score": 18.33005591600008, "score": 18.33005591600008, "valid": true, "invalid_reasons": "", "signed_change_nt": 677.0400333333341, "absolute_change_nt": 677.0400333333341, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 282.0, "window_end_s": 292.0, "window_length_s": 10, "n": 499, "raw_score": 18.25119611071525, "score": 18.25119611071525, "valid": true, "invalid_reasons": "", "signed_change_nt": 674.1272628844399, "absolute_change_nt": 674.1272628844399, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 285.0, "window_end_s": 295.0, "window_length_s": 10, "n": 500, "raw_score": 18.244425124436393, "score": 18.244425124436393, "valid": true, "invalid_reasons": "", "signed_change_nt": 673.8771693333376, "absolute_change_nt": 673.8771693333376, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 286.0, "window_end_s": 296.0, "window_length_s": 10, "n": 500, "raw_score": 17.944897394826206, "score": 17.944897394826206, "valid": true, "invalid_reasons": "", "signed_change_nt": 662.8137953333421, "absolute_change_nt": 662.8137953333421, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 281.0, "window_end_s": 291.0, "window_length_s": 10, "n": 500, "raw_score": 17.834228956689095, "score": 17.834228956689095, "valid": true, "invalid_reasons": "", "signed_change_nt": 658.7261393333463, "absolute_change_nt": 658.7261393333463, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 287.0, "window_end_s": 297.0, "window_length_s": 10, "n": 501, "raw_score": 17.73690218086521, "score": 17.73690218086521, "valid": true, "invalid_reasons": "", "signed_change_nt": 655.1312717644748, "absolute_change_nt": 655.1312717644748, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 280.0, "window_end_s": 290.0, "window_length_s": 10, "n": 500, "raw_score": 17.44740848237021, "score": 17.44740848237021, "valid": true, "invalid_reasons": "", "signed_change_nt": 644.4385153333415, "absolute_change_nt": 644.4385153333415, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 289.0, "window_end_s": 299.0, "window_length_s": 10, "n": 500, "raw_score": 17.392360704253356, "score": 17.392360704253356, "valid": true, "invalid_reasons": "", "signed_change_nt": 642.4052673333379, "absolute_change_nt": 642.4052673333379, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 }, { "window_start_s": 280.0, "window_end_s": 300.0, "window_length_s": 20, "n": 1000, "raw_score": 17.36806187498936, "score": 17.36806187498936, "valid": true, "invalid_reasons": "", "signed_change_nt": 641.5077643333334, "absolute_change_nt": 641.5077643333334, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 36.93605935715418 } ], "note": "Scores use feedback_meter level/drift_sigma. Both signs are treated symmetrically; ranked windows are descriptive." } } }