{"id":"W7080721330","doi":"10.13026/zx6a-2c81","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":1,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004349963,0.001061475,0.000813262,0.001919359,0.0006275672,0.0008635268,0.001218487,0.001144472,0.003811674],"category_scores_gemma":[0.003039898,0.0002762269,0.0008632808,0.002575487,0.000306213,0.0005498163,0.001702016,0.0007836232,0.003907605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072986,"about_ca_system_score_gemma":0.001719315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09613261,"about_ca_topic_score_gemma":0.2282051,"domain_scores_codex":[0.9995141,0.00007083628,0.00006070632,0.0001527846,0.0001176137,0.00008406131],"domain_scores_gemma":[0.9990526,0.0001743544,0.0001327843,0.0002031395,0.0002917531,0.000145364],"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":[0.001776987,0.0003742428,0.2076826,0.005018442,0.0007052775,0.001329294,0.001553352,0.002754553,0.008986934,0.001874749,0.6572306,0.110713],"study_design_scores_gemma":[0.0002380042,0.0002590412,0.5127205,0.0008749339,0.0002451898,0.0008858461,0.001750728,0.004716628,0.002909417,0.001566768,0.4736423,0.0001906522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03920393,0.001839481,0.002741001,0.0004383057,0.0002090985,0.0002854145,0.9499317,0.001457541,0.003893644],"genre_scores_gemma":[0.06034199,0.000911594,0.00610582,0.0002486917,0.00008383637,0.0006933051,0.929256,0.00009709047,0.002261734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09613261,"threshold_uncertainty_score":0.1911461,"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."}}