{"id":"W4382751541","doi":"10.2196/47274","title":"The Intersection of ChatGPT, Clinical Medicine, and Medical Education","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Engineering ethics; Process (computing); Generative grammar; Relevance (law); Perspective (graphical); Medicine; Medical education; Psychology; Computer science; Engineering; Artificial intelligence; Political science; Pedagogy","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":[0.01514882,0.0004630337,0.0007062989,0.002474487,0.001725397,0.008620277,0.001372833,0.004285328,0.004513161],"category_scores_gemma":[0.0308664,0.0002927651,0.000742837,0.002065631,0.01563597,0.01031071,0.00750153,0.006545616,0.0007822753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004474036,"about_ca_system_score_gemma":0.006768328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951102,"about_ca_topic_score_gemma":0.002344396,"domain_scores_codex":[0.9786084,0.01639137,0.0009498778,0.0009347234,0.002680935,0.0004347127],"domain_scores_gemma":[0.9200189,0.07141539,0.002464914,0.002231406,0.002308871,0.001560511],"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":[0.0001207883,0.00006548238,0.001425905,0.008128264,0.0000628037,0.0008951417,0.02955756,0.0007401324,0.0008734107,0.596472,0.01203036,0.3496282],"study_design_scores_gemma":[0.0000298446,0.0002382917,0.003195995,0.01851318,0.000079765,0.005785047,0.01988353,0.00156484,0.001777091,0.3324984,0.6163251,0.0001088347],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01603669,0.5350436,0.1014071,0.1677897,0.007721722,0.0001723314,0.0001082629,0.0003948101,0.1713257],"genre_scores_gemma":[0.5158729,0.3216128,0.05541129,0.07737667,0.01073992,0.000775801,0.0001561997,0.0003237809,0.01773058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01514882,"threshold_uncertainty_score":0.08011556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445229261496626,"score_gpt":0.5522571922954163,"score_spread":0.4077342661457537,"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."}}