{"id":"W4393061716","doi":"10.2196/51346","title":"ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Clinical decision support system; Decision support system; Knowledge management; Medical education; Empirical research; Computer science; Psychology; Medicine; Artificial intelligence; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006989888,0.0000916644,0.0001637398,0.0002536222,0.000464017,0.0001323746,0.0001073269,0.0001272454,0.0002888001],"category_scores_gemma":[0.008087336,0.00005330427,0.00007217209,0.0004313124,0.0001916847,0.0001614821,0.00007425735,0.0008490931,0.0002326375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643234,"about_ca_system_score_gemma":0.002053642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002225016,"about_ca_topic_score_gemma":0.0001176774,"domain_scores_codex":[0.9977148,0.0003198632,0.0005302079,0.0002733803,0.0008618719,0.000299869],"domain_scores_gemma":[0.989246,0.009688039,0.00003429475,0.0002825065,0.0005501489,0.0001990208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002789117,0.001026771,0.002016287,0.0001462779,0.00004054804,0.000146805,0.0416422,9.119501e-8,7.08069e-7,0.002564066,0.02098187,0.9311554],"study_design_scores_gemma":[0.0005443844,0.02289134,0.01516736,0.007981445,0.000113786,0.005704797,0.756386,0.04079041,0.0002209999,0.07281896,0.07690554,0.0004749648],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798989,0.0002866846,0.0003184732,0.01551306,0.0007884119,0.002503223,0.000003003139,0.0000328472,0.0006553477],"genre_scores_gemma":[0.9970441,0.0001335254,0.00006831975,0.0007847943,0.0008066538,0.0009512347,0.000004150055,0.00001514812,0.0001920045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306805,"threshold_uncertainty_score":0.9681881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3221702531518857,"score_gpt":0.6602811175150193,"score_spread":0.3381108643631336,"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."}}