{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004339005,0.000360195,0.0004262984,0.0001960347,0.0002261368,0.00004433223,0.000104185,0.00009031883,0.000122867],"category_scores_gemma":[0.0002995318,0.0003442166,0.0001558366,0.0003530248,0.0001490642,0.0002707288,0.00005136947,0.0004074878,0.0000651537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008045,"about_ca_system_score_gemma":0.0002804587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001377067,"about_ca_topic_score_gemma":0.00001075612,"domain_scores_codex":[0.9976723,0.0001612698,0.0004985687,0.0004446207,0.0004984945,0.0007247205],"domain_scores_gemma":[0.998125,0.0004946251,0.0002653681,0.0004067522,0.0002612551,0.0004469604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1531705,0.002046232,0.5287056,0.0005660507,0.00007747721,0.00004888323,0.000391744,0.1652061,0.1114739,0.00003833845,0.001702124,0.03657309],"study_design_scores_gemma":[0.003196817,0.04108121,0.1261879,0.0005154029,0.0001097841,0.000374381,0.00004077514,0.7979254,0.02922806,0.000002776416,0.00100537,0.0003321221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7446805,0.00002879419,0.2533735,0.0002032291,0.0004613399,0.000587984,0.00001849915,0.0002774111,0.0003687532],"genre_scores_gemma":[0.8999323,0.000001017091,0.09853806,0.0007450885,0.0005230219,0.00008898118,0.00008786963,0.0000424762,0.00004123023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6327193,"threshold_uncertainty_score":0.999901,"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."}}