{"id":"W4386074316","doi":"10.3390/medicina59091509","title":"Survey Analysis of Quantitative and Qualitative Menstrual Cycle Tracking Technologies","year":2023,"lang":"en","type":"article","venue":"Medicina","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Menstrual cycle; Context (archaeology); Fertility; Medicine; Tracking (education); Polycystic ovary; Infertility; Gynecology; Psychology; Internal medicine; Hormone; Biology; Environmental health; Population; Obesity; Pregnancy; Insulin resistance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02350001,0.0004019864,0.0007721106,0.003889173,0.001414786,0.001378049,0.0007360275,0.0006961789,0.002258063],"category_scores_gemma":[0.05749884,0.0004227043,0.0007294508,0.005289966,0.0011877,0.001313874,0.001918643,0.0006515743,0.000448456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754835,"about_ca_system_score_gemma":0.003413024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005431223,"about_ca_topic_score_gemma":0.005104001,"domain_scores_codex":[0.9847171,0.009614671,0.001639754,0.0007876371,0.002081058,0.001159725],"domain_scores_gemma":[0.9521897,0.02795116,0.006015725,0.001185003,0.01177074,0.0008876619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000578236,0.0007184572,0.6745945,0.00267514,0.0001734493,0.0002789939,0.2203195,0.0005240968,0.002962533,0.001614223,0.005032205,0.09052859],"study_design_scores_gemma":[0.00007232957,0.001267905,0.6901448,0.0008558409,0.00006687313,0.0002034623,0.2916556,0.002058295,0.001317841,0.0005723408,0.01171185,0.00007286135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838889,0.0002050182,0.004369047,0.000320579,0.00002543221,0.003672396,0.003851784,0.00003756613,0.003629235],"genre_scores_gemma":[0.9723104,0.0003743344,0.007318781,0.0003831128,0.00002017189,0.01617762,0.002260386,0.00002415245,0.001131087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02350001,"threshold_uncertainty_score":0.1242814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398254733879931,"score_gpt":0.4688574258446267,"score_spread":0.3290319524566336,"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."}}