{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002635606,0.002368808,0.0045313,0.000679932,0.0009015301,0.001817039,0.001614214,0.003829108,0.0124026],"category_scores_gemma":[0.004736749,0.001242053,0.0033386,0.0007533783,0.001907511,0.001347813,0.001066498,0.00435668,0.001579102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240972,"about_ca_system_score_gemma":0.001686704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465342,"about_ca_topic_score_gemma":0.001924909,"domain_scores_codex":[0.9975466,0.001138045,0.0002456843,0.0005237135,0.0002081772,0.0003376697],"domain_scores_gemma":[0.997276,0.001155541,0.0005529434,0.0002514843,0.0002018387,0.0005621209],"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":[0.9716634,0.01956581,0.0003196924,0.0005565618,0.0009289681,0.00001162449,0.00004056448,0.0002255688,0.0006618797,0.00005977606,0.0001900703,0.005776115],"study_design_scores_gemma":[0.8313325,0.1636176,0.002096346,0.00008623204,0.00139594,0.000008600507,0.00004824661,0.0006262623,0.0003548343,0.00009588527,0.0003048799,0.00003262855],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897323,0.002068865,0.0007314679,0.0002979154,0.0008079233,0.004208344,0.0005382178,0.0001135208,0.001501525],"genre_scores_gemma":[0.9843679,0.001384251,0.00219559,0.0004380203,0.0006133048,0.007868224,0.0005367036,0.00002639426,0.002569687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0124026,"threshold_uncertainty_score":0.04149079,"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."}}