{"id":"W4388861785","doi":"10.2196/53466","title":"Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Medical education; SWOT analysis; Context (archaeology); Health care; Psychology; Medicine; Pedagogy; Political science; Management","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":[0.001940978,0.0001997163,0.0003360234,0.0003361677,0.0002198125,0.00004365334,0.0002902207,0.0002168601,0.0008615194],"category_scores_gemma":[0.003907535,0.0001236942,0.0001091231,0.001646178,0.0001713122,0.0002217409,0.00006639624,0.000495301,0.0002275765],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008576635,"about_ca_system_score_gemma":0.03433127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218654,"about_ca_topic_score_gemma":0.0009325711,"domain_scores_codex":[0.9966819,0.0004277422,0.0008334655,0.0003579772,0.001345155,0.0003537078],"domain_scores_gemma":[0.9973595,0.0002729668,0.0002016216,0.0003896946,0.00113916,0.0006371046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001800327,0.005316286,0.01544721,0.0002723464,0.0001903087,0.000004991953,0.6181056,0.00001559556,0.00008070986,0.01236662,0.1103457,0.2376746],"study_design_scores_gemma":[0.0001191859,0.0009837697,0.06014594,0.0007259716,0.00003861748,0.00002443294,0.931392,0.0007035562,0.0003000497,0.004297546,0.001068509,0.0002004397],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251892,0.0001036529,0.0002976204,0.07027149,0.001320004,0.001822605,0.000003151439,0.00007525158,0.0009170487],"genre_scores_gemma":[0.9934474,0.00007109425,0.0001692435,0.003121929,0.001231509,0.001403952,0.0002101753,0.00002235136,0.0003223818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3132864,"threshold_uncertainty_score":0.9943914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698346162461118,"score_gpt":0.5953087859976666,"score_spread":0.4254741697515548,"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."}}