{"id":"W2395875166","doi":"10.1007/s12029-016-9834-4","title":"Correlation between County-Level Surgeon Density and Mortality from Colorectal Cancer","year":2016,"lang":"en","type":"article","venue":"Journal of Gastrointestinal Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Cancer Society Research Institute; Health Resources and Services Administration; Cancer Research Institute","keywords":"Medicine; Colorectal cancer; Demography; Mortality rate; Incidence (geometry); Socioeconomic status; Cohort; Gerontology; Cancer; Internal medicine; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006128153,0.0001753189,0.0002791111,0.001088264,0.0003455522,0.0006832721,0.0003778298,0.0004605163,0.00462371],"category_scores_gemma":[0.005586125,0.0005274536,0.000708312,0.001460097,0.0003308424,0.0003576785,0.0005728585,0.000698986,0.000491307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836897,"about_ca_system_score_gemma":0.0006116976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03487032,"about_ca_topic_score_gemma":0.04759024,"domain_scores_codex":[0.9994104,0.0002168132,0.00006966536,0.0001192181,0.00006208237,0.0001217999],"domain_scores_gemma":[0.9929506,0.002653921,0.001899821,0.0006705237,0.0007950034,0.001030236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003331569,0.00001059988,0.999297,0.000002785413,0.0000571814,0.00001855184,0.00001431085,0.00007268153,0.00003225325,0.00001105692,0.0001235938,0.0003266129],"study_design_scores_gemma":[0.000001986171,0.00002305031,0.9992616,0.000003076374,0.00003392194,0.00005616307,0.0001027869,0.000363948,0.00001605044,0.00001649653,0.0001180136,0.000002857224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974976,0.0002903878,0.000178698,0.0001604391,0.00002627187,0.000002342498,0.0008550722,0.00002172644,0.0009672914],"genre_scores_gemma":[0.9991405,0.00006577246,0.00005707232,0.00001792953,0.00001689085,0.000002191874,0.0003666117,0.000003125842,0.0003299684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487032,"threshold_uncertainty_score":0.06933475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09079771872293066,"score_gpt":0.3461308547606622,"score_spread":0.2553331360377316,"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."}}