{"id":"W4375948464","doi":"10.1080/17474124.2023.2212159","title":"Optimizing adenoma detection in screening-related colonoscopy","year":2023,"lang":"en","type":"review","venue":"Expert Review of Gastroenterology & Hepatology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; St. Michael's Hospital; University of Calgary","funders":"","keywords":"Medicine; Colonoscopy; Psychological intervention; Adenoma; Colorectal cancer; MEDLINE; Colorectal cancer screening; Narrative review; Intensive care medicine; Medical physics; General surgery; Internal medicine; Cancer; Nursing","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":[0.001842902,0.00083072,0.002455122,0.002580776,0.0001542886,0.001099129,0.0007937967,0.001395308,0.004576066],"category_scores_gemma":[0.005913967,0.0003012208,0.00208179,0.001900562,0.0003588553,0.0009128303,0.0004935568,0.0009370333,0.0006272789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006949516,"about_ca_system_score_gemma":0.001856165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590334,"about_ca_topic_score_gemma":0.003898063,"domain_scores_codex":[0.9986993,0.0004490839,0.0002899615,0.0001456551,0.0003669632,0.00004893045],"domain_scores_gemma":[0.9967878,0.002237201,0.0005748734,0.00002898406,0.0003333496,0.00003780371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002690993,0.00004389099,0.0004486818,0.353918,0.001216196,0.00009192381,0.0000756413,0.0003393647,0.0004709325,0.001119961,0.008448559,0.6335577],"study_design_scores_gemma":[0.0004206632,0.0009727188,0.009874792,0.4779651,0.01489589,0.002731689,0.000313313,0.0006657832,0.001444056,0.002581881,0.4880419,0.00009227543],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001158937,0.9993078,0.00005120203,0.0001752617,0.00007106332,0.00001196781,0.00002187956,0.000002602913,0.0002424061],"genre_scores_gemma":[0.002080867,0.9972672,0.0002523037,0.0001782675,0.00008497469,0.00001762305,0.00002555233,0.000001051209,0.00009221066],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004576066,"threshold_uncertainty_score":0.01530844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248639940255871,"score_gpt":0.3655455937302663,"score_spread":0.3230591943277076,"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."}}