{"id":"W6977765558","doi":"10.6084/m9.figshare.26550619","title":"Additional file 3 of Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; McMaster University; Western University; University of British Columbia; Queen's University","funders":"","keywords":"Data collection; MEDLINE; Interview; File format","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002084759,0.000633496,0.001033734,0.002937586,0.003399512,0.001193803,0.001902786,0.0009957331,0.5331213],"category_scores_gemma":[0.0258626,0.0004913061,0.000944072,0.005496047,0.0004808964,0.001157408,0.0008842006,0.0009265918,0.01798293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009188717,"about_ca_system_score_gemma":0.01455254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6696013,"about_ca_topic_score_gemma":0.7655489,"domain_scores_codex":[0.9989011,0.00019091,0.0001918761,0.0001501749,0.0003217522,0.0002441483],"domain_scores_gemma":[0.9841734,0.007404891,0.001684523,0.0009147343,0.005081138,0.0007413511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003717144,0.0002116554,0.03063287,0.002344035,0.00006784042,0.0001057876,0.001206879,0.000249748,0.00007227439,0.001456733,0.9532745,0.01000591],"study_design_scores_gemma":[0.003750433,0.0003712316,0.5750711,0.008458226,0.0003322073,0.0004932078,0.009702237,0.001943645,0.0005658026,0.005169687,0.3938625,0.000279788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004824425,0.00008563902,0.0002838119,0.0004569292,0.00003714439,0.001371946,0.9877704,0.00005946604,0.005110239],"genre_scores_gemma":[0.1315834,0.0008106705,0.006507262,0.002054207,0.0001362331,0.03792526,0.7799657,0.0002490965,0.04076821],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5331213,"threshold_uncertainty_score":0.6659457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.199108124996594,"score_gpt":0.4890342794224195,"score_spread":0.2899261544258255,"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."}}