{"id":"W4415106470","doi":"10.1001/jamainternmed.2025.4911","title":"Artificial Intelligence and Clinical Care","year":2025,"lang":"en","type":"article","venue":"JAMA Internal Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"","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":[0.0005727088,0.0001432001,0.0003687429,0.0002273562,0.00008870447,0.00002374086,0.0001182939,0.0001841393,0.0003107574],"category_scores_gemma":[0.002744119,0.0001089991,0.00007171083,0.000275679,0.0004091029,0.00007624459,0.00005766417,0.0005480755,0.00007359896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026165,"about_ca_system_score_gemma":0.0001815362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352011,"about_ca_topic_score_gemma":0.0001708675,"domain_scores_codex":[0.9982141,0.00007032467,0.0009230819,0.0003454859,0.0002177477,0.0002293155],"domain_scores_gemma":[0.9984148,0.0005970576,0.00009997164,0.0002744797,0.0003893302,0.0002243387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003877305,0.00007607805,0.0948478,0.0001646766,0.00004869546,0.00003028633,0.001513627,6.603814e-7,0.00009953861,0.005432412,0.003819695,0.8935788],"study_design_scores_gemma":[0.000823154,0.01326955,0.398192,0.01836028,0.001729836,0.0006617554,0.1427351,0.007488452,0.0719721,0.1350943,0.2084745,0.001198948],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8524039,0.004147158,0.01651645,0.08369174,0.005239029,0.0006076353,0.000002845614,0.0001089443,0.03728234],"genre_scores_gemma":[0.9890243,0.0006979959,0.0005055294,0.006558639,0.001946363,0.00001396266,0.00001226845,0.00001041349,0.001230524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8923799,"threshold_uncertainty_score":0.4444854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2074314546911851,"score_gpt":0.5112405420322885,"score_spread":0.3038090873411035,"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."}}