{"id":"W4378229839","doi":"10.1177/23821205231178449","title":"Practical Applications of ChatGPT in Undergraduate Medical Education","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Education and Curricular Development","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medical education; Chatbot; Engineering ethics; Computer science; Medicine; Engineering; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.001958323,0.00009461871,0.0002621392,0.0004775973,0.00005652828,0.00001234656,0.0001119088,0.0001979824,0.0003495424],"category_scores_gemma":[0.002497504,0.00007603614,0.0000507363,0.0007937014,0.00008593318,0.0000975437,0.00003229882,0.0004274344,0.00003329471],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518148,"about_ca_system_score_gemma":0.01998901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006530289,"about_ca_topic_score_gemma":0.00003590716,"domain_scores_codex":[0.9972009,0.00008550622,0.00102598,0.0001442206,0.001373296,0.0001701076],"domain_scores_gemma":[0.9982904,0.0001306421,0.0003231893,0.0001144987,0.0005028996,0.000638369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002608702,0.002119538,0.03630954,0.0002298447,0.00003008951,0.00001198528,0.002030078,7.890634e-7,0.00001171335,0.005145169,0.02119839,0.9328868],"study_design_scores_gemma":[0.0009371191,0.00048134,0.1864688,0.007427432,0.0001725376,0.003382759,0.03429538,0.001752826,0.002351126,0.01176331,0.7504439,0.0005235095],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.751161,0.001934525,0.008876013,0.2353015,0.001666694,0.0005526158,3.175678e-7,0.00002229919,0.0004850448],"genre_scores_gemma":[0.9849696,0.004561749,0.006390479,0.003001386,0.0006040585,0.0001083642,0.00003697027,0.0000140351,0.0003134039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9323633,"threshold_uncertainty_score":0.9855667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07417524580869142,"score_gpt":0.4728021624624267,"score_spread":0.3986269166537353,"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."}}