{"id":"W4391886336","doi":"10.1093/jcag/gwad061.132","title":"A132 A COLON-SPECIFIC SELECTIVE RESECTION ALGORITHM FOR LARGE NON-PEDUNCULATED POLYPS OPTIMIZES EFFICIENCY WITH HIGH TECHNICAL AND CLINICAL SUCCESS: A PROSPECTIVE COHORT STUDY","year":2024,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Prospective cohort study; Resection; Medicine; Cohort; Algorithm; Internal medicine; Computer science; Surgery","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":[0.001439632,0.0005130248,0.000423728,0.0003879886,0.0006256263,0.0009658286,0.0004155692,0.0004605066,0.002893449],"category_scores_gemma":[0.003113959,0.0003447038,0.0008139372,0.0005030452,0.0003008044,0.0008782855,0.0005615106,0.0007648884,0.0006805054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010525,"about_ca_system_score_gemma":0.0007952251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046623,"about_ca_topic_score_gemma":0.003619435,"domain_scores_codex":[0.9992575,0.0001434844,0.00007522259,0.0002643389,0.0001244991,0.0001350333],"domain_scores_gemma":[0.9984477,0.0002385087,0.0005316536,0.0002666394,0.0002645407,0.00025084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003605065,0.0007904819,0.9861149,0.00007291624,0.000438259,0.0001759009,0.0001526908,0.0001519199,0.0006289164,0.00007443052,0.001300081,0.006494621],"study_design_scores_gemma":[0.0006715925,0.005326206,0.9869839,0.00006442344,0.0007325524,0.000981643,0.0004652356,0.001749551,0.0004158203,0.0001851534,0.002378135,0.00004591315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983904,0.000226846,0.0002696291,0.00003871591,0.00001526221,0.0001078187,0.0005758864,0.000005385913,0.0003701185],"genre_scores_gemma":[0.9979321,0.0001233163,0.0004272449,0.00006267773,0.00003058441,0.0001271141,0.0009429506,0.000007898625,0.0003462286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002893449,"threshold_uncertainty_score":0.009679556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007556163919827063,"score_gpt":0.2768513745258184,"score_spread":0.2692952106059913,"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."}}