{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001640273,0.0001118049,0.000580451,0.0007474087,0.00005984537,0.000003245078,0.0000531379,0.00008896928,0.00003514648],"category_scores_gemma":[0.002574207,0.00008726071,0.00005630752,0.002430937,0.0003820154,0.00004115549,0.00003362012,0.0001445775,0.00001010496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000020316,"about_ca_system_score_gemma":0.00007295172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000822096,"about_ca_topic_score_gemma":0.0004405435,"domain_scores_codex":[0.9986514,0.0001673065,0.0003685963,0.0002317728,0.0003233753,0.0002575805],"domain_scores_gemma":[0.9983049,0.001129531,0.0001323925,0.0001874669,0.0001483545,0.00009734461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001226134,0.0002588439,0.6695573,0.001329017,0.003179239,0.0001176628,0.171654,0.00007130714,0.001419026,0.006200625,0.005318701,0.1396681],"study_design_scores_gemma":[0.001172765,0.0007652292,0.7847653,0.0001052111,0.0005762811,0.000002789819,0.2067481,0.004524124,0.0003296969,0.000814382,0.00008692742,0.0001092499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955588,0.000874366,0.000224653,0.001737879,0.00007087726,0.0002008147,0.00005772778,0.0001596261,0.001115262],"genre_scores_gemma":[0.9988984,0.0003069463,0.0004602034,0.0001047347,0.000006748166,0.000006742818,0.0001205673,0.000009125009,0.00008646922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395588,"threshold_uncertainty_score":0.3558389,"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."}}