{"id":"W2745905723","doi":"10.1016/j.gie.2017.07.045","title":"Optimizing the quality of endoscopy in inflammatory bowel disease: focus on surveillance and management of colorectal dysplasia using interactive image- and video-based teaching","year":2017,"lang":"en","type":"article","venue":"Gastrointestinal Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Inflammatory bowel disease; Chromoendoscopy; Colonoscopy; Dysplasia; Endoscopy; General surgery; Disease; Gastroenterology; Internal medicine; Family medicine; 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":[0.0009771116,0.0004054839,0.0002416131,0.0003853315,0.0002278084,0.000806309,0.00063864,0.0003887394,0.003755885],"category_scores_gemma":[0.00346969,0.00009568808,0.0003139294,0.000184924,0.0001926844,0.0006413357,0.0007368195,0.0005328028,0.0002681513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651816,"about_ca_system_score_gemma":0.0005797896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705132,"about_ca_topic_score_gemma":0.003281637,"domain_scores_codex":[0.9994381,0.0002842784,0.00002209193,0.00005533381,0.0001317029,0.00006861892],"domain_scores_gemma":[0.9982513,0.0008913307,0.0002113646,0.00007397093,0.0002440072,0.0003281584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001337005,0.00220248,0.0440045,0.001036132,0.0001467348,0.0004781764,0.0008252095,0.008339226,0.0345404,0.001103007,0.004719844,0.9012672],"study_design_scores_gemma":[0.001475899,0.01811494,0.6169366,0.001942938,0.0021531,0.01176181,0.003694423,0.1392455,0.1199329,0.007064846,0.0772766,0.000400463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8055416,0.01987574,0.1343412,0.006936355,0.000326286,0.0004837166,0.0001792819,0.001389103,0.03092664],"genre_scores_gemma":[0.9258708,0.005903984,0.06440946,0.0004887888,0.0004468932,0.00008831568,0.00007530822,0.0001220396,0.002594366],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003755885,"threshold_uncertainty_score":0.01256472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078520711228959,"score_gpt":0.319683914361266,"score_spread":0.2988987072489764,"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."}}