{"id":"W4389559024","doi":"10.2196/51302","title":"Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Cross-sectional study; Descriptive statistics; Psychology; Medical school; Health care; Medicine; Family medicine","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":[0.002378234,0.0001935864,0.0004627533,0.00110462,0.001198543,0.001709289,0.000476542,0.0008777149,0.002159291],"category_scores_gemma":[0.006722451,0.0005292055,0.0003797962,0.001109921,0.0007538563,0.001458428,0.001691118,0.001401532,0.0004110407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005508431,"about_ca_system_score_gemma":0.0007534674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003054782,"about_ca_topic_score_gemma":0.004909194,"domain_scores_codex":[0.9988268,0.0003688365,0.0001434322,0.0001018253,0.0002888128,0.0002701782],"domain_scores_gemma":[0.9934874,0.001469874,0.002101787,0.0001330058,0.0005934182,0.002214393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005752254,0.0004953521,0.9742475,0.00005830916,0.00001927504,0.0002022732,0.02037816,0.00002727407,0.0002224339,0.00005891923,0.0003331549,0.003899898],"study_design_scores_gemma":[0.000007961167,0.0007875873,0.9100724,0.00006286434,0.00001647848,0.0005267453,0.08696676,0.0001908948,0.0001137979,0.00003358221,0.001201919,0.00001896957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994486,0.0000661853,0.00002322313,0.0001122804,0.000004575278,0.00001123597,0.00004420398,0.000001260702,0.0002884315],"genre_scores_gemma":[0.9994112,0.0001411678,0.00006198895,0.000119567,0.000006369201,0.00002111656,0.0000547134,0.0000013351,0.0001824906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003054782,"threshold_uncertainty_score":0.01257747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135507736459029,"score_gpt":0.5403388303058227,"score_spread":0.4267880566599199,"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."}}