{"id":"W4388478893","doi":"10.2196/46718","title":"Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vignette; Context (archaeology); Polycystic ovary; Medicine; Uterine fibroids; Reproductive health; mHealth; Endometriosis; Health care; Family medicine; Gynecology; Psychology; Psychiatry; Population; Psychological intervention; Social psychology; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03189191,0.0003572869,0.0006415583,0.002036607,0.001500832,0.001596318,0.001060293,0.001570365,0.002915631],"category_scores_gemma":[0.1256354,0.0005638887,0.0009381018,0.001110157,0.00147065,0.001873258,0.002612041,0.0014493,0.0004449161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004670584,"about_ca_system_score_gemma":0.00205458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00249084,"about_ca_topic_score_gemma":0.004822684,"domain_scores_codex":[0.9714583,0.02308592,0.002025116,0.001114894,0.001689041,0.0006267822],"domain_scores_gemma":[0.866572,0.1016101,0.01384652,0.003954619,0.01094486,0.003071923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004680164,0.01044326,0.5392866,0.006173425,0.0007108449,0.0068924,0.2808465,0.002629222,0.003348123,0.00378828,0.01598216,0.125219],"study_design_scores_gemma":[0.002492016,0.0223428,0.6488742,0.004478544,0.0007543426,0.01350721,0.2094263,0.02096633,0.006672524,0.004005542,0.06558101,0.0008991776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929506,0.0003978675,0.001838094,0.0007906833,0.00003369591,0.002431075,0.0002403099,0.00001569446,0.001301914],"genre_scores_gemma":[0.9800632,0.0006845604,0.01479896,0.0007764202,0.00004193475,0.002893125,0.0002809968,0.000012886,0.0004479263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03189191,"threshold_uncertainty_score":0.1686625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3279197216799293,"score_gpt":0.5901680432070792,"score_spread":0.2622483215271498,"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."}}