{"id":"W4391873508","doi":"10.1093/jcag/gwad061.133","title":"A133 MARGIN THERMAL ABLATION WITH SNARE-TIP SOFT COAGULATION EFFECTIVELY MITIGATES RECURRENCE AFTER ENDOSCOPIC MUCOSAL RESECTION OF LARGE NON-PEDUNCULATED COLORECTAL POLYPS","year":2024,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Argon plasma coagulation; Endoscopic mucosal resection; Medicine; Thermal ablation; Margin (machine learning); Ablation; Coagulation; Resection; Surgery; Internal medicine; Endoscopy; Computer science","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":[0.00034113,0.0001256161,0.0002814855,0.0002005103,0.00009500435,0.0002997323,0.0001465808,0.0001187182,0.001490699],"category_scores_gemma":[0.0007337572,0.00007183252,0.000291352,0.0001246431,0.0001524969,0.000233435,0.0002370458,0.0001969278,0.0001656316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251307,"about_ca_system_score_gemma":0.0001735796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003151414,"about_ca_topic_score_gemma":0.0006829206,"domain_scores_codex":[0.9998155,0.00004868549,0.00001658505,0.00003588946,0.00005677809,0.00002660328],"domain_scores_gemma":[0.9997614,0.00005682523,0.0001055053,0.00002201078,0.00001838743,0.00003590107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02160844,0.003104492,0.2613932,0.001139249,0.0005857577,0.001169812,0.0003269477,0.001999375,0.2175792,0.0002406175,0.002448201,0.4884047],"study_design_scores_gemma":[0.000899823,0.05000303,0.8843175,0.000166063,0.0004183724,0.005011894,0.0004862101,0.007770224,0.0448981,0.0002064371,0.005788523,0.00003386114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982337,0.0006402304,0.0005334349,0.00002914257,0.000008546485,0.00002289782,0.00002812319,0.00002261717,0.0004812607],"genre_scores_gemma":[0.9991067,0.0001891714,0.0003616042,0.00003135259,0.00001079241,0.00001571765,0.00005589523,0.000003861327,0.0002248502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001490699,"threshold_uncertainty_score":0.004986942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004808718683683497,"score_gpt":0.2318144557582655,"score_spread":0.227005737074582,"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."}}