{"id":"W2921179397","doi":"10.1093/jcag/gwz006.221","title":"A222 QUANTITATIVE ASSESSMENT TO DETERMINE CHANGES IN COLONIC CURVATURE WITH SUPINE VERSUS PRONE PATIENT POSITION USING COMPUTED TOMOGRAPHY COLONOGRAPHY","year":2019,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Supine position; Medicine; Prone position; Colonoscopy; Lumen (anatomy); Ascending colon; Radiology; Nuclear medicine; Surgery; Internal medicine; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001585382,0.000514176,0.0003760163,0.003363256,0.000362035,0.001003523,0.0002861665,0.0003999801,0.003610065],"category_scores_gemma":[0.004546423,0.0002928863,0.0004400881,0.001969136,0.0004729985,0.0004253002,0.0005655705,0.0002284082,0.0009048803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569645,"about_ca_system_score_gemma":0.0004056776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005398127,"about_ca_topic_score_gemma":0.01055401,"domain_scores_codex":[0.9986973,0.0002930624,0.0002238453,0.0001535583,0.0005174659,0.0001147863],"domain_scores_gemma":[0.9960575,0.0009746042,0.001072479,0.000328304,0.00115775,0.0004094629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001675632,0.00008655513,0.9386051,0.0001856305,0.0001371721,0.000529356,0.000354039,0.0002167516,0.04044669,0.00005236773,0.0003299848,0.0173809],"study_design_scores_gemma":[0.00001114591,0.0003797575,0.9957536,0.000006793768,0.00002652102,0.0007798054,0.0001461034,0.0004505775,0.002025476,0.000008637633,0.0004020644,0.000009490058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902998,0.0007212936,0.003733383,0.00001994656,0.00001873485,0.0002926099,0.001249393,0.00009279257,0.00357189],"genre_scores_gemma":[0.992475,0.0002717254,0.005203053,0.00002093907,0.00001367801,0.0001524486,0.001003986,0.00002330644,0.0008358934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005398127,"threshold_uncertainty_score":0.01207691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423180139788992,"score_gpt":0.2642286883414516,"score_spread":0.2499968869435616,"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."}}