{"id":"W3095276236","doi":"10.1177/0969141320967960","title":"Morbidity and mortality after major large bowel resection of non-malignant polyp among participants in a population-based screening program","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Screening","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"Cancer Care Ontario","keywords":"Medicine; Colonoscopy; Colorectal cancer; Fecal occult blood; Occult; Population; Internal medicine; Surgery; General surgery; Gastroenterology; Cancer; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954708,0.0001610146,0.0005575281,0.0002036607,0.00006283808,0.00002610495,0.0001034763,0.0002193172,0.0001093116],"category_scores_gemma":[0.001490467,0.0001307766,0.000173308,0.0004836497,0.00007996227,0.0001924418,0.00006535454,0.0007694392,3.535155e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005581462,"about_ca_system_score_gemma":0.0001481884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315942,"about_ca_topic_score_gemma":0.001718724,"domain_scores_codex":[0.9968838,0.000153131,0.000931345,0.0002383576,0.001428486,0.0003648548],"domain_scores_gemma":[0.9984372,0.000133598,0.0004759438,0.000118545,0.0001498505,0.0006848868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006246367,0.0001659669,0.9687313,0.0001773908,0.00008455468,0.0003028001,0.0002734844,0.0001161897,0.0002373418,0.000001173424,0.00003282481,0.02363054],"study_design_scores_gemma":[0.00340653,0.002927028,0.8634274,0.001374057,0.0001396112,0.00003564905,0.0002013544,0.1275827,0.0007585238,0.000006594488,0.00003737022,0.0001031791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972809,0.0003296171,0.02490287,0.001501225,0.000100648,0.0003013411,0.000005366042,0.00002835986,0.00002155846],"genre_scores_gemma":[0.9954478,0.00001995983,0.003730661,0.0003225615,0.0004329746,0.00001932037,0.000005503715,0.00001840849,0.000002859001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274665,"threshold_uncertainty_score":0.5332916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0457330440021821,"score_gpt":0.3514446057846979,"score_spread":0.3057115617825159,"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."}}