{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01431737,0.001256733,0.0006704447,0.004645152,0.003186817,0.01299437,0.004849334,0.006883739,0.007966433],"category_scores_gemma":[0.01480748,0.0007567519,0.001721213,0.002633005,0.02723811,0.01031734,0.005643415,0.00611581,0.001572406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008489409,"about_ca_system_score_gemma":0.0110364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006165125,"about_ca_topic_score_gemma":0.003491529,"domain_scores_codex":[0.9915898,0.006072877,0.0004136224,0.0006605566,0.0008444857,0.0004186729],"domain_scores_gemma":[0.9849273,0.01089999,0.0009493208,0.0009537701,0.001354474,0.0009152434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003189975,0.000008224515,0.00007434202,0.00004367297,0.000002909312,0.00004578625,0.0005977291,0.0008403438,0.00002133861,0.9955097,0.0005153963,0.002337378],"study_design_scores_gemma":[0.0000111674,0.00001170962,0.00006244513,0.0001716867,0.000006370466,0.0001014465,0.0006016734,0.005391399,0.0000625223,0.9724142,0.02115431,0.00001112187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006550348,0.01059367,0.681112,0.07745779,0.0007615425,0.0008310993,0.0002839095,0.0003657432,0.2220439],"genre_scores_gemma":[0.4556413,0.009340191,0.5024397,0.01030815,0.001125407,0.002799862,0.0005667516,0.0002149115,0.01756372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01431737,"threshold_uncertainty_score":0.07571834,"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."}}