{"id":"W4387002580","doi":"10.1080/00365521.2023.2257824","title":"Local recurrence rates after resection of large colorectal serrated lesions with or without margin thermal ablation","year":2023,"lang":"en","type":"article","venue":"Scandinavian Journal of Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Resection margin; Ablation; Retrospective cohort study; Polypectomy; Hyperplastic Polyp; Cohort; Surgery; Resection; Medical record; Endoscopic mucosal resection; Colorectal cancer; Internal medicine; Cancer; Colonoscopy","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":[0.0006520884,0.0001245211,0.0002397824,0.0005290802,0.0001531852,0.0003412487,0.000198954,0.0001714741,0.001152471],"category_scores_gemma":[0.003142806,0.00009734525,0.0006152435,0.0003507135,0.0001823383,0.0003067167,0.0002530024,0.0001360289,0.0001608397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147742,"about_ca_system_score_gemma":0.0001373351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204151,"about_ca_topic_score_gemma":0.002297955,"domain_scores_codex":[0.9996243,0.00008933541,0.00005382415,0.00008254928,0.00009718959,0.00005272091],"domain_scores_gemma":[0.9971983,0.0006467904,0.001711263,0.0001348018,0.0001160388,0.0001928102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005793739,0.00001370496,0.9923847,0.00004293292,0.00008806766,0.0003684484,0.00003918813,0.0001286774,0.0004943713,0.00001071297,0.00005295666,0.005796847],"study_design_scores_gemma":[0.00001399256,0.0003548225,0.9962126,0.00001575105,0.00007638583,0.002477261,0.00008865297,0.000251161,0.0003164537,0.00001598517,0.000171477,0.000005425833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985154,0.000950856,0.0001141168,0.00001716688,0.000002895001,0.0000056955,0.0001546439,0.000006407874,0.0002328043],"genre_scores_gemma":[0.9995332,0.0001720323,0.00005859599,0.000008518333,0.000007461875,0.00000333589,0.0001523394,0.000001837614,0.00006263681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001204151,"threshold_uncertainty_score":0.003855348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795234390931302,"score_gpt":0.2960196435101415,"score_spread":0.2780672996008285,"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."}}