{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003524223,0.0001664205,0.0001632233,0.0006306863,0.0005446334,0.000466461,0.0005201978,0.0002518604,0.0009595119],"category_scores_gemma":[0.001952375,0.0002039327,0.0003959296,0.001079754,0.0002568279,0.0003183369,0.0005455795,0.0003548954,0.00008071656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551778,"about_ca_system_score_gemma":0.002441834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4361154,"about_ca_topic_score_gemma":0.569243,"domain_scores_codex":[0.9995672,0.00005213733,0.00004574344,0.00007570282,0.0001376265,0.0001216059],"domain_scores_gemma":[0.998798,0.00007511576,0.000649949,0.000041611,0.0001600551,0.0002752622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001654292,0.000008783334,0.9993975,0.000007954879,0.00001415117,0.00002260024,0.00007118231,0.00001422311,0.00003402568,0.000004747345,0.00008791183,0.0003204629],"study_design_scores_gemma":[0.000001103396,0.00001080793,0.9997955,0.000004128262,0.000004450258,0.0000226923,0.00008593019,0.00003206938,0.000005550957,0.00000203065,0.00003488239,8.004466e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982789,0.0001121721,0.00003482068,0.00007520111,0.000002955794,0.00001851917,0.001063346,0.000003309307,0.0004107432],"genre_scores_gemma":[0.9991054,0.00007651709,0.00003074514,0.00001753393,0.000003825088,0.00001013745,0.0006767918,6.167689e-7,0.00007840376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4361154,"threshold_uncertainty_score":0.8671538,"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."}}