{"id":"W86634114","doi":"10.1016/j.gie.2012.03.954","title":"Mo1248 Computer Based Virtual Reality Colonoscopy Simulation Improves Patient Based Colonoscopy Performance","year":2012,"lang":"en","type":"article","venue":"Gastrointestinal Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Colonoscopy; Medicine; Virtual colonoscopy; Virtual reality; Medical physics; Human–computer interaction; Colorectal cancer; Computer science; Internal medicine; 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":[0.000271166,0.0005719106,0.0004002591,0.0002309088,0.00009804843,0.0004558492,0.0004488385,0.0006339508,0.007215449],"category_scores_gemma":[0.00184207,0.0002232341,0.0004059366,0.0001189764,0.00009751238,0.0002060717,0.0004822878,0.0003416124,0.001177141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419906,"about_ca_system_score_gemma":0.0003512214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993221,"about_ca_topic_score_gemma":0.001271649,"domain_scores_codex":[0.9998035,0.00008389956,0.00001242693,0.00002579774,0.00004753789,0.00002691519],"domain_scores_gemma":[0.9994069,0.0003194431,0.00005045588,0.00005968401,0.00006968439,0.00009377775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02338406,0.008251348,0.01935859,0.0007444039,0.000418504,0.001207805,0.0005628717,0.3702746,0.2020307,0.0008859672,0.01108237,0.3617987],"study_design_scores_gemma":[0.001056368,0.01469322,0.03389395,0.00008412484,0.0003103909,0.001147428,0.0001638204,0.8957376,0.04438823,0.0006253404,0.007715906,0.0001836704],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356089,0.0002077775,0.05422391,0.0002666181,0.0001594702,0.0001810647,0.0006325865,0.002771661,0.005947916],"genre_scores_gemma":[0.9799308,0.0001483566,0.01627896,0.00009900625,0.00002059411,0.0001138278,0.0005032601,0.0001233425,0.002781929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007215449,"threshold_uncertainty_score":0.02413803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274178268563116,"score_gpt":0.2815944602053417,"score_spread":0.2588526775197106,"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."}}