{"id":"W4396709623","doi":"10.1097/ms9.0000000000002070","title":"Knowledge, attitude, and practice of artificial intelligence among medical students in Sudan: a cross-sectional study","year":2024,"lang":"en","type":"article","venue":"Annals of Medicine and Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cross-sectional study; Medicine; Medical education; Perception; Health care; Family medicine; Psychology; Pathology","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":[0.007196154,0.0001320154,0.0005022659,0.0005288548,0.00004563511,0.00002445512,0.00008436536,0.000144459,0.0001576758],"category_scores_gemma":[0.006353913,0.0001042922,0.00005672116,0.0005686961,0.0006332816,0.0001980203,0.00006086772,0.000313775,0.000005231207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001439151,"about_ca_system_score_gemma":0.0003496452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182322,"about_ca_topic_score_gemma":0.0004953101,"domain_scores_codex":[0.9972172,0.0001749927,0.001222452,0.0003234527,0.0008517743,0.0002101385],"domain_scores_gemma":[0.9947356,0.004290923,0.0001317997,0.000156666,0.0004628368,0.0002221513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003532588,0.0009081282,0.9180232,0.0005346854,0.0000847127,0.0001126573,0.005369279,9.591312e-7,0.00002643953,0.0003614264,0.001086972,0.07313826],"study_design_scores_gemma":[0.00005442951,0.0007763342,0.9851621,0.001624809,0.00005469509,0.0001068082,0.009154993,0.0003842055,0.0005152032,0.001141011,0.0009186156,0.0001067964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834536,0.008235035,0.00006952855,0.006912446,0.0006411158,0.0003172316,0.000001495036,0.00001656947,0.0003530288],"genre_scores_gemma":[0.9949315,0.003902887,0.00001602728,0.0005663677,0.0004782508,0.00001967269,0.000007342007,0.00001152733,0.00006646883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07303146,"threshold_uncertainty_score":0.7606686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3912517483319033,"score_gpt":0.5650456856599783,"score_spread":0.173793937328075,"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."}}