{"id":"W2102522288","doi":"10.3747/co.22.2391","title":"Rectal Cancer Resection and Circumferential Margin Rates in Canada: A Population-Based Study","year":2015,"lang":"en","type":"article","venue":"Current Oncology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Partnership Against Cancer","funders":"","keywords":"Medicine; Colorectal cancer; Margin (machine learning); Resection; Cancer; Population; General surgery; Surgery; Internal medicine; Environmental health; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002794597,0.0001718776,0.0003175491,0.0007560008,0.0009464451,0.001003028,0.0006337397,0.0005684247,0.002136201],"category_scores_gemma":[0.001650666,0.0001831104,0.0004937508,0.003676047,0.0006940233,0.0003371495,0.000282895,0.0005546337,0.0001616452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007972616,"about_ca_system_score_gemma":0.0133339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9765677,"about_ca_topic_score_gemma":0.9792312,"domain_scores_codex":[0.9994901,0.00002889587,0.00003977774,0.00009360113,0.0001842266,0.000163395],"domain_scores_gemma":[0.9989327,0.00007700079,0.0003203114,0.00004328846,0.0003846663,0.000242128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004273747,0.00001408697,0.9965089,0.00003394429,0.00005440353,0.00003727561,0.0001380466,0.00006986245,0.00007735554,0.00006684936,0.00123455,0.001722029],"study_design_scores_gemma":[0.000004812352,0.00001170739,0.9988955,0.00002534472,0.00002823394,0.00003914223,0.0002523081,0.00006008506,0.00001829363,0.00001519371,0.0006444352,0.000004894993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832793,0.00316494,0.00009093463,0.001177679,0.00003037989,0.00003318901,0.008740013,0.00001645737,0.003466985],"genre_scores_gemma":[0.995703,0.001172509,0.00008535619,0.0003051038,0.00002423271,0.00001148077,0.002155764,0.000004651864,0.0005377829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02343231,"threshold_uncertainty_score":0.05784565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627878443044567,"score_gpt":0.4370448721768705,"score_spread":0.2742570278724138,"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."}}