{"id":"W4396670539","doi":"10.2196/55957","title":"Toward Clinical Generative AI: Conceptual Framework","year":2024,"lang":"en","type":"article","venue":"JMIR AI","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Generative grammar; Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002427113,0.00009351675,0.0001875446,0.00005156767,0.00005601914,0.00004515678,0.00005386852,0.0002314385,0.001148882],"category_scores_gemma":[0.0003089633,0.00007545591,0.0001123237,0.0001985149,0.000170576,0.00008742021,0.00001729264,0.0006966065,0.00158898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006492994,"about_ca_system_score_gemma":0.0004530138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004927021,"about_ca_topic_score_gemma":0.000007296042,"domain_scores_codex":[0.9988955,0.00006397312,0.0004030007,0.000273478,0.0001646041,0.0001994107],"domain_scores_gemma":[0.9991444,0.000330429,0.00002308103,0.0001899787,0.0001372449,0.0001748841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001813842,0.0003364154,0.02578777,0.0002296548,0.0001175961,0.0001593915,0.03350513,0.000007701085,0.0002152364,0.0745379,0.4635727,0.4013491],"study_design_scores_gemma":[0.00008060009,0.001600872,0.005423584,0.0009388605,0.0001058878,0.00007655763,0.01011855,0.004427184,0.009877758,0.04712275,0.9198582,0.0003692206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7633082,0.003205529,0.02918925,0.1887078,0.009655611,0.001135012,0.00001374456,0.0004415594,0.00434328],"genre_scores_gemma":[0.9737044,0.0001220391,0.001125873,0.01868464,0.004513619,0.00007828746,0.0000216571,0.00001770439,0.001731777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4562855,"threshold_uncertainty_score":0.9997642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3518431579899761,"score_gpt":0.5640545340335312,"score_spread":0.2122113760435552,"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."}}