{"id":"W3092688951","doi":"10.1111/codi.15400","title":"Clinical and endoscopist factors associated with post‐colonoscopy colorectal cancer in a population‐based sample","year":2020,"lang":"en","type":"article","venue":"Colorectal Disease","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; St. Michael's Hospital; Sunnybrook Health Science Centre; Health Sciences Centre; START Clinic; Toronto General Hospital; McMaster University; Brampton Civic Hospital; Institute for Clinical Evaluative Sciences; Institute for Work & Health; Hamilton Health Sciences; University of Toronto; Public Health Ontario","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Colonoscopy; Proportional hazards model; Colorectal cancer; Hazard ratio; Population; Logistic regression; Internal medicine; Oncology; Cancer; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001255689,0.0002632149,0.0005106581,0.0001225993,0.0001175891,0.00004103418,0.00007400542,0.0001394993,0.0001615302],"category_scores_gemma":[0.00205225,0.0002253065,0.0001280728,0.0006097317,0.0001606045,0.0001118265,0.00004648243,0.0003622289,0.000003046028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212817,"about_ca_system_score_gemma":0.0005416708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031561,"about_ca_topic_score_gemma":0.003281858,"domain_scores_codex":[0.9982417,0.0001530403,0.0003853689,0.0005751154,0.0003099496,0.0003348237],"domain_scores_gemma":[0.9983466,0.000465471,0.000137972,0.0001106649,0.0001267618,0.0008125399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03095422,0.0002171697,0.9671689,0.00006633945,0.00006552465,0.00005273783,0.0001667142,0.00008149385,0.0003229774,0.000006291641,0.00004089208,0.0008567471],"study_design_scores_gemma":[0.003993153,0.005671823,0.982935,0.0001974672,0.0001927081,9.674698e-7,0.00006176548,0.006235254,0.0004125902,0.000016784,0.00003622438,0.0002462453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966945,0.0002580673,0.00007459392,0.001281721,0.0001638327,0.0008465687,0.0004114156,0.0002099133,0.00005937319],"genre_scores_gemma":[0.998339,0.00001442871,0.0001144923,0.0008689747,0.0001257452,0.0001536525,0.0003343445,0.00004054087,0.000008806184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02696107,"threshold_uncertainty_score":0.9187731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771589004359648,"score_gpt":0.3218950710393845,"score_spread":0.284179180995788,"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."}}