{"id":"W7080721321","doi":"10.13026/5b8h-jx61","title":"mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables","year":2025,"lang":"en","type":"dataset","venue":"PhysioNet","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Menstrual cycle; Distress; Wearable computer; Wearable technology; Activity tracker; Reproductive health; Tracking (education)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002714957,0.0003118755,0.0006061285,0.00007099812,0.0002080513,0.00005398873,0.0005210062,0.0001347582,0.000005149564],"category_scores_gemma":[0.00007274799,0.0002326136,0.00004199043,0.0002066123,0.00009718489,0.0001640004,0.0004830603,0.0001900527,2.494488e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001551903,"about_ca_system_score_gemma":0.0001949056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001121809,"about_ca_topic_score_gemma":0.000007628479,"domain_scores_codex":[0.9981849,0.00006852803,0.0004280505,0.0007640462,0.0002279342,0.0003265491],"domain_scores_gemma":[0.9983258,0.0001803853,0.0005704753,0.0007069254,0.000104897,0.0001114725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003263368,0.0002617595,0.000007952465,0.001196783,0.0002023913,0.000005823762,0.00003151656,0.00002572508,0.0002636938,0.00005501986,0.9966706,0.001246098],"study_design_scores_gemma":[0.001474864,0.001420841,0.00082077,0.001010391,0.0001611671,0.0000664277,0.00004202589,0.002561189,0.0002724926,0.00202223,0.9895641,0.0005835409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002681379,0.0006098141,0.001011403,0.0003446145,0.0000567503,0.0005277082,0.9947141,0.00004824599,0.000005936184],"genre_scores_gemma":[0.004356896,0.0007187649,0.00381453,0.0002942208,0.00005044973,0.00006967592,0.9906699,0.000002658508,0.00002289656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007106542,"threshold_uncertainty_score":0.9485708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429788643389526,"score_gpt":0.2894859455132618,"score_spread":0.2651880590793666,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}