{"id":"W4411771156","doi":"10.1016/j.fertnstert.2025.05.110","title":"TRACKING MENSRUAL CYCLES VIA BODY TEMPERATURE AND HEART RATE MEASUREMENTS USING NOVEL WEARABLE TEXTILE SENSORS.","year":2025,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Ottawa Fertility Centre; McMaster University Medical Centre","funders":"","keywords":"Wearable computer; Textile; Tracking (education); Biomedical engineering; Computer science; Materials science; Medicine; Embedded system; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008018991,0.0001756963,0.0002682024,0.00006530649,0.0003081088,0.00008864589,0.00004783756,0.000193936,0.0002634931],"category_scores_gemma":[0.00005145101,0.0001669135,0.0000517076,0.0001218187,0.0001340202,0.000161213,0.00005189696,0.0002210573,0.00000840443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003491527,"about_ca_system_score_gemma":0.00002573586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002314902,"about_ca_topic_score_gemma":0.0001008492,"domain_scores_codex":[0.9985102,0.0003240496,0.0002995158,0.0004906321,0.000112079,0.0002635255],"domain_scores_gemma":[0.9994435,0.00005636217,0.00004913419,0.0002497455,0.0001093931,0.00009184473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007669288,0.001059258,0.05835123,0.0004614609,0.0002499638,0.00000447894,0.002105445,0.000006549559,0.9093716,0.0000425089,0.0002161963,0.02046198],"study_design_scores_gemma":[0.0008900251,0.00004133695,0.9912125,0.00008316062,0.00004126379,0.00001034781,0.0004133642,0.000372954,0.00596871,0.0004040937,0.0004235835,0.0001386096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955347,0.0004026904,0.0005263587,0.0002291847,0.0005074724,0.0003054463,0.00004595669,0.00006251142,0.002385747],"genre_scores_gemma":[0.9988284,0.000005419507,0.0002442623,0.0004452982,0.00002729891,0.00000891371,0.00001063067,0.000008066927,0.0004217732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9328613,"threshold_uncertainty_score":0.6806536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08037891657620809,"score_gpt":0.3411560385975923,"score_spread":0.2607771220213842,"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."}}