{"id":"W4414710296","doi":"10.1016/j.jcmg.2025.09.002","title":"Diagnosis of Mitral Valve Prolapse Using Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mitral valve prolapse; Mitral valve; MEDLINE; Medical diagnosis","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":[0.0006600649,0.0004994408,0.0005811442,0.002219344,0.0002288658,0.001282864,0.0005660632,0.0006675279,0.0009895208],"category_scores_gemma":[0.002886404,0.0001924533,0.0007111676,0.0004274326,0.0002076612,0.0003787428,0.0004621582,0.0006269625,0.0004196601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809021,"about_ca_system_score_gemma":0.000458912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907765,"about_ca_topic_score_gemma":0.00217536,"domain_scores_codex":[0.9995455,0.0001165848,0.00007754014,0.00007994982,0.0001310131,0.00004928319],"domain_scores_gemma":[0.9990155,0.0005799767,0.000109158,0.00004940572,0.0001914734,0.00005443084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001049204,0.0008339785,0.1435988,0.000609498,0.0006710697,0.002257057,0.0001507922,0.05515583,0.02556063,0.002254755,0.007777068,0.7600813],"study_design_scores_gemma":[0.00008972637,0.0004826305,0.03260449,0.0002116949,0.0003564033,0.002362506,0.0001849594,0.9410154,0.01164768,0.007182791,0.003804884,0.0000568111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4891735,0.01316054,0.4690072,0.003587542,0.0006778025,0.0004957597,0.002146018,0.002484342,0.01926733],"genre_scores_gemma":[0.9218294,0.001343364,0.07439775,0.0003397123,0.0001592982,0.00005868573,0.0007979582,0.0000192758,0.001054548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219344,"threshold_uncertainty_score":0.003793299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402203255112566,"score_gpt":0.34368292447085,"score_spread":0.3196608919197244,"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."}}