{"id":"W2785309829","doi":"10.17269/cjph.108.6091","title":"Geographic variation and factors associated with colorectal cancer incidence in Manitoba","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"Janssen Pharmaceuticals; Merck Canada; Cook Medical","keywords":"Incidence (geometry); Cancer registry; Demography; Poisson regression; Medicine; Population; Residence; Colorectal cancer; Geography; Environmental health; Gerontology; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004634813,0.0003012852,0.0003087228,0.002273268,0.001082879,0.001019962,0.000992502,0.0003598893,0.001514951],"category_scores_gemma":[0.002483999,0.0004323831,0.0005358993,0.005985485,0.0007349962,0.00029514,0.0009727798,0.0005144689,0.0001881259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004483161,"about_ca_system_score_gemma":0.005349464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8734667,"about_ca_topic_score_gemma":0.9166846,"domain_scores_codex":[0.9994689,0.000123373,0.00005961973,0.00007763438,0.0001109348,0.0001596473],"domain_scores_gemma":[0.9982712,0.00021892,0.0005310175,0.0001037335,0.0004583563,0.0004166951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003159079,0.00001421344,0.9982881,0.000009580917,0.00005449828,0.00006926317,0.00030707,0.0000427992,0.0001796336,0.00002729948,0.0001374401,0.0008385193],"study_design_scores_gemma":[0.000001677211,0.000008151129,0.9988922,0.00001169354,0.00002068195,0.00004546612,0.000769065,0.00006742373,0.0000185017,0.000009696918,0.0001523192,0.00000303431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973516,0.0006275537,0.00006476121,0.0002096621,0.00001200859,0.000009467662,0.0008267231,0.000009283203,0.000889008],"genre_scores_gemma":[0.9987829,0.0004218657,0.00007635705,0.00004146393,0.000009743027,0.000007246621,0.0003415656,0.000004098126,0.0003146515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1265333,"threshold_uncertainty_score":0.254557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06326234318761717,"score_gpt":0.3002969023800364,"score_spread":0.2370345591924193,"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."}}