{"id":"W4388542426","doi":"10.1055/s-0043-1765702","title":"Local Recurrence Rates After Resection of Large Colorectal Serrated Lesions","year":2023,"lang":"en","type":"article","venue":"Endoscopy","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Resection; Margin (machine learning); Colorectal cancer; Resection margin; Ablation; Surgery; Radiology; Internal medicine; Cancer","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":[0.002022478,0.0002244679,0.0004142446,0.0007722559,0.0001477453,0.0004786006,0.0002184504,0.0002505291,0.0009957517],"category_scores_gemma":[0.005151144,0.000101127,0.001022258,0.0004107205,0.0003047946,0.0004916679,0.0003527348,0.0003741149,0.0001728995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702044,"about_ca_system_score_gemma":0.0001623824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006183909,"about_ca_topic_score_gemma":0.001197654,"domain_scores_codex":[0.9989682,0.0004128991,0.0001438267,0.0001497973,0.0002153474,0.0001099288],"domain_scores_gemma":[0.9941542,0.001751694,0.003142423,0.000274809,0.0002751628,0.0004016858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003805367,0.00009870796,0.9698323,0.0004258318,0.0003142745,0.0005615745,0.00017805,0.0003435815,0.001282183,0.00007274264,0.0001157382,0.02296974],"study_design_scores_gemma":[0.00002731133,0.001828356,0.9948088,0.0000480281,0.0002544227,0.001328246,0.0002121912,0.0002221723,0.0006835606,0.000044802,0.0005272991,0.00001486331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886325,0.009902855,0.0003513362,0.0000553046,0.00001455487,0.00002354417,0.0002479337,0.000009880738,0.0007621231],"genre_scores_gemma":[0.9986462,0.0007501182,0.0001235534,0.00002997421,0.00002874513,0.00001044573,0.0001909203,0.00000367255,0.0002163823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002022478,"threshold_uncertainty_score":0.01069599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410286345792404,"score_gpt":0.3426187044531411,"score_spread":0.318515840995217,"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."}}