{"id":"W3033526833","doi":"10.1016/j.gie.2020.03.3238","title":"Tu1066 IMPACT OF AUGMENTED REALITY ON PROCEDURAL SKILLS ACQUISITION IN A SIMULATION-BASED TRAINING CURRICULUM FOR POLYPECTOMY: A RANDOMIZED CONTROLLED TRIAL","year":2020,"lang":"en","type":"article","venue":"Gastrointestinal Endoscopy","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Wilson Centre; University of Toronto; SickKids Foundation; Hospital for Sick Children; Queen's University; St. Michael's Hospital","funders":"","keywords":"Polypectomy; Medicine; Colonoscopy; Augmented reality; Curriculum; Medical physics; General surgery; Artificial intelligence; Internal medicine; Computer science; Colorectal cancer; Cancer","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":[0.0007700202,0.0002913999,0.001782576,0.0002512757,0.00003758928,0.00002070001,0.00009005122,0.00003637508,0.0001287049],"category_scores_gemma":[0.006782387,0.0002119681,0.0009018592,0.0003894312,0.0000781998,0.00006763745,0.00001509547,0.0001688698,0.000002591132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133251,"about_ca_system_score_gemma":0.0003835376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001459496,"about_ca_topic_score_gemma":0.000005206789,"domain_scores_codex":[0.9977605,0.000201961,0.0009404996,0.000350118,0.0003599993,0.0003869481],"domain_scores_gemma":[0.9967267,0.002254653,0.0005095328,0.0001521372,0.0001756932,0.0001812879],"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":[0.9666494,0.0005053331,0.00942896,0.0001558122,0.000137392,0.00001811808,0.0001896613,0.02119622,0.001374062,0.00005656361,0.0001358478,0.000152653],"study_design_scores_gemma":[0.7654995,0.00466821,0.004465354,0.0004574364,0.0002785423,0.000008913178,0.00008237553,0.2243389,0.00005310043,0.00004570693,0.000001983172,0.0001000301],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292893,0.00001670255,0.05443051,0.00308912,0.0001054973,0.0125715,0.00004181618,0.0001200914,0.0003354606],"genre_scores_gemma":[0.9890057,7.570015e-7,0.00939208,0.0005625511,0.0002599433,0.0006122838,0.0001123217,0.00002507843,0.00002922885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2031426,"threshold_uncertainty_score":0.8643808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814525848496246,"score_gpt":0.3428906326877261,"score_spread":0.3147453742027636,"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."}}