{"id":"W4221092010","doi":"10.2196/29967","title":"Machine-Aided Self-diagnostic Prediction Models for Polycystic Ovary Syndrome: Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Ovarian function and disorders","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polycystic ovary; Machine learning; Predictive modelling; Artificial intelligence; Observational study; Computer science; Feature (linguistics); Data set; Medicine; Data mining; Internal medicine; Obesity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159829,0.0001525864,0.000248838,0.0005569104,0.0009631886,0.00004128362,0.0001657364,0.00005105737,0.0006767143],"category_scores_gemma":[0.000399526,0.0001421011,0.0001073013,0.0009609898,0.00006030145,0.0004095107,0.0002055311,0.0006829262,0.00006216686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004550937,"about_ca_system_score_gemma":0.0004462633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004992997,"about_ca_topic_score_gemma":0.000003476001,"domain_scores_codex":[0.9970003,0.0003942186,0.00039685,0.0003164605,0.001429628,0.0004624906],"domain_scores_gemma":[0.9979149,0.001118799,0.00007314862,0.0003085106,0.0003985138,0.0001861859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0219014,0.04653706,0.2016652,0.002138216,0.003312949,0.0004219855,0.08318467,0.01918132,0.000273806,0.03569042,0.5779457,0.007747272],"study_design_scores_gemma":[0.01435323,0.01451679,0.5083535,0.00005321227,0.0001238475,0.0003680974,0.02003729,0.4190868,0.00001001181,0.01046223,0.01232516,0.0003097899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603213,0.0004258149,0.008739595,0.003600851,0.0009511665,0.01294866,0.0008139947,0.0005733963,0.01162519],"genre_scores_gemma":[0.992205,0.00001128267,0.0002977832,0.0002970998,0.00005661813,0.005056472,0.0005485819,0.00003335204,0.001493796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5656205,"threshold_uncertainty_score":0.7409547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204105317859002,"score_gpt":0.3949745097744957,"score_spread":0.2745639779885954,"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."}}