{"id":"W2078343336","doi":"10.1002/jso.21395","title":"Guideline for optimization of colorectal cancer surgery and pathology","year":2009,"lang":"en","type":"article","venue":"Journal of Surgical Oncology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Cancer Care Ontario; McMaster University; London Health Sciences Centre; Mount Sinai Hospital; Health Sciences Centre; Juravinski Cancer Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Guideline; Colorectal cancer; Lymph node; Resection margin; Evidence-based medicine; General surgery; Cancer; Surgery; Resection; Pathology; Internal medicine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007093012,0.002038558,0.002454764,0.005144541,0.00115282,0.001767896,0.009096553,0.006906673,0.0103955],"category_scores_gemma":[0.02664523,0.001190955,0.003283762,0.005037311,0.001261196,0.001624494,0.001856104,0.008338191,0.008061386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01067912,"about_ca_system_score_gemma":0.03983026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0945263,"about_ca_topic_score_gemma":0.1528209,"domain_scores_codex":[0.9883682,0.003835597,0.002165697,0.0004292435,0.004658615,0.0005426937],"domain_scores_gemma":[0.9742527,0.004122523,0.002248395,0.0006082346,0.01749264,0.001275583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007563272,0.0001115648,0.0007514387,0.006031716,0.0001479494,0.0004762092,0.0003039455,0.0008828648,0.000526349,0.003762129,0.8565868,0.1303434],"study_design_scores_gemma":[0.000411248,0.00012981,0.006781023,0.02318224,0.0003526474,0.001087658,0.0001649975,0.001126018,0.0003907165,0.004831721,0.9614506,0.00009125045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.004591268,0.259069,0.08577295,0.3514718,0.04046229,0.02255354,0.03466161,0.002624822,0.1987927],"genre_scores_gemma":[0.02380851,0.1527684,0.6442262,0.05310559,0.003671558,0.01869413,0.04176592,0.0004174424,0.06154223],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0945263,"threshold_uncertainty_score":0.1879522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465652365693796,"score_gpt":0.3679411697409901,"score_spread":0.3332846460840521,"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."}}