{"id":"W4384029550","doi":"10.1093/noajnl/vdad071.003","title":"COMPARING THE EFFICIENCY OF A REAL-TIME ARTIFICIAL INTELLIGENCE INSTRUCTOR TO HUMAN EXPERT INSTRUCTORS IN SIMULATED SURGICAL TECHNICAL SKILLS TRAINING– A RANDOMIZED CONTROLLED TRIAL","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"CLIPS; Task (project management); Randomized controlled trial; Baseline (sea); Computer science; Medical physics; Physical therapy; Medicine; Artificial intelligence; Psychology; Surgery; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00728391,0.002031275,0.005229496,0.001106052,0.0009221315,0.001689128,0.002690345,0.004003106,0.007909709],"category_scores_gemma":[0.01078428,0.001372222,0.001911559,0.0008186318,0.002748398,0.001707381,0.0008529206,0.00353488,0.001302059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343136,"about_ca_system_score_gemma":0.002273046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210368,"about_ca_topic_score_gemma":0.001420141,"domain_scores_codex":[0.9906127,0.005728954,0.0009674626,0.001386169,0.0006851804,0.0006194175],"domain_scores_gemma":[0.9898136,0.005376731,0.001622579,0.0008913242,0.0007759269,0.001519847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9632478,0.02751564,0.0002061793,0.000410089,0.0003524099,0.00001573888,0.00006964668,0.0001810849,0.001060474,0.00006134276,0.0001451211,0.006734493],"study_design_scores_gemma":[0.7656825,0.231535,0.0007996219,0.00003685294,0.0002857221,0.000008219206,0.00003992154,0.000613488,0.0006568368,0.00008093004,0.0002398477,0.00002106295],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745498,0.001471785,0.001917379,0.0002508824,0.001122585,0.01898518,0.0003648158,0.0001627194,0.001174861],"genre_scores_gemma":[0.9502975,0.001053505,0.007215327,0.0004688739,0.0008424377,0.03751319,0.0002530499,0.00004119588,0.002314985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007909709,"threshold_uncertainty_score":0.03852147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090036611106867,"score_gpt":0.4448317711789573,"score_spread":0.3358281100682706,"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."}}