{"id":"W2087951048","doi":"10.1093/jnci/djj396","title":"Population-Based Assessment of the Surgical Management of Locally Advanced Colorectal Cancer","year":2006,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Colorectal cancer; Proportional hazards model; Population; Cancer; Epidemiology; Cancer registry; Logistic regression; Surgery; Internal medicine","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":[0.001104193,0.0002251011,0.0002431371,0.001413811,0.0001880703,0.000514211,0.0003846771,0.0003986605,0.0009521001],"category_scores_gemma":[0.004072061,0.0001923043,0.0002774079,0.001233984,0.0002331125,0.0004921322,0.0004629982,0.0004274976,0.000214061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995247,"about_ca_system_score_gemma":0.0003580523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337293,"about_ca_topic_score_gemma":0.005041521,"domain_scores_codex":[0.9992561,0.0002821829,0.0001036894,0.0001538184,0.0001479034,0.00005636295],"domain_scores_gemma":[0.9973459,0.0004037821,0.001621486,0.0001287347,0.0002491015,0.0002510037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001582922,0.00001153366,0.9991779,0.000005535759,0.00002489874,0.000012207,0.00001239095,0.00005426801,0.00002898971,0.000004122762,0.00003870283,0.0006136943],"study_design_scores_gemma":[0.000003078678,0.00005218797,0.9993719,0.000003597733,0.00001345344,0.0001284299,0.00006853343,0.000239053,0.00002352846,0.00001550711,0.00007870813,0.000002011186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983044,0.0003359851,0.0002316509,0.00008240751,0.000003205856,0.00002071666,0.0006365002,0.000009929646,0.0003752298],"genre_scores_gemma":[0.9991399,0.0001217572,0.0001453773,0.00001909475,0.000008255994,0.00001907894,0.0005099474,0.000001014925,0.00003561476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00337293,"threshold_uncertainty_score":0.006706595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467530396870215,"score_gpt":0.3611705800292979,"score_spread":0.3364952760605958,"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."}}