{"id":"W2119475871","doi":"10.1186/1477-7819-11-140","title":"Does geography influence the treatment and outcomes of colorectal cancer? A population-based analysis","year":2013,"lang":"en","type":"article","venue":"World Journal of Surgical Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; CancerCare Manitoba; University of Manitoba","funders":"Winnipeg Foundation; Manitoba Medical Service Foundation","keywords":"Medicine; Colorectal cancer; Odds ratio; Population; Colonoscopy; Demography; Odds; Confidence interval; Cancer registry; Cancer; Gerontology; Environmental health; Internal medicine; Logistic regression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002388544,0.0001012048,0.0006676601,0.0003076027,0.00005410469,0.0000110331,0.00007830149,0.00004957716,0.0003372795],"category_scores_gemma":[0.00002591059,0.00004067303,0.0003283187,0.0005893139,0.0001499873,0.00007466458,0.00001108047,0.0001416504,7.963355e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583163,"about_ca_system_score_gemma":0.0001390267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223826,"about_ca_topic_score_gemma":0.002322674,"domain_scores_codex":[0.9989381,0.00009004645,0.000492896,0.00009798157,0.0002313305,0.0001496523],"domain_scores_gemma":[0.9985268,0.0005714339,0.0004085049,0.00008542741,0.0002725713,0.000135267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003495392,0.0001149361,0.9792257,0.000005020526,0.0007546281,0.00005946798,0.00006639551,0.00100449,0.0000660439,0.00004068231,0.0000330965,0.01827999],"study_design_scores_gemma":[0.001416383,0.0009829456,0.9866278,0.00003126313,0.001051219,0.00003124951,0.00007801824,0.0002025243,0.00008889676,0.00009078749,0.009351152,0.0000477522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892535,0.000819821,0.000007493128,0.00939366,0.00008605242,0.0001494704,0.000004248856,0.00000387265,0.0002818551],"genre_scores_gemma":[0.9982976,0.0007180396,0.0004254185,0.0004270905,0.00005575778,0.00001484582,0.00000157994,0.00000338953,0.00005624091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01823224,"threshold_uncertainty_score":0.638519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254940147122102,"score_gpt":0.3456620967204007,"score_spread":0.3231126952491797,"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."}}