{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009174032,0.00009955055,0.0002127307,0.00009979329,0.00007864759,0.000004558787,0.00003005863,0.000046959,0.0002861056],"category_scores_gemma":[0.00006911612,0.00007630188,0.00006067135,0.0005431586,0.0000730564,0.00003872221,0.00004497824,0.00009850138,0.00009664174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006663011,"about_ca_system_score_gemma":0.00006844329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073119,"about_ca_topic_score_gemma":0.0003359299,"domain_scores_codex":[0.9992731,0.00002961663,0.0001521295,0.0001766516,0.0001574468,0.0002110173],"domain_scores_gemma":[0.9996458,0.00006423847,0.00003764937,0.0001060779,0.00008988677,0.00005633909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0164121,0.001091721,0.8758714,0.0004373581,0.0008592497,0.0005111943,0.005684849,0.00002624388,0.03281116,0.0003374351,0.05285468,0.01310261],"study_design_scores_gemma":[0.002663499,0.002448452,0.866955,0.000244429,0.0001054874,0.000006716635,0.001134448,0.0005390303,0.1202342,0.00009940934,0.005441386,0.0001279629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960074,0.0006471146,0.00004791944,0.0003278689,0.0003423576,0.0002502264,0.00006160085,0.0000799611,0.002235562],"genre_scores_gemma":[0.9981025,0.0003361099,0.00007873095,0.00004184037,0.00004794183,0.0001265916,0.00005243168,0.00001117827,0.001202608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08742304,"threshold_uncertainty_score":0.3132656,"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."}}