{"id":"W2267070502","doi":"10.3402/ijch.v75.30059","title":"Cancer incidence and mortality among the Métis population of Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"International Journal of Circumpolar Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Métis National Council; University of Calgary; Alberta Health; University of Alberta","funders":"","keywords":"Medicine; Incidence (geometry); Cancer registry; Population; Lung cancer; Demography; Epidemiology; Cancer; Cancer incidence; Mortality rate; Gerontology; Environmental health; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004151422,0.0002834623,0.0002605889,0.00145592,0.001442168,0.0008692991,0.0008320292,0.0001887463,0.001592353],"category_scores_gemma":[0.0008862135,0.0001385226,0.0003477139,0.003120297,0.0003559427,0.0001989474,0.0005527671,0.0003694521,0.0001795237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01911389,"about_ca_system_score_gemma":0.02344985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909924,"about_ca_topic_score_gemma":0.9938304,"domain_scores_codex":[0.9993991,0.00003086995,0.00002379839,0.00006062712,0.0003502883,0.0001352877],"domain_scores_gemma":[0.9993818,0.00002258726,0.0001178823,0.00001683704,0.0002989438,0.0001620613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008114061,0.00002815176,0.9884495,0.00007801095,0.00007821507,0.0001289419,0.0003490793,0.0001985455,0.0002651299,0.0001269825,0.002872518,0.007343844],"study_design_scores_gemma":[0.000007582637,0.00001843812,0.9977087,0.00003022415,0.00002635674,0.00008610896,0.0005386195,0.0002288153,0.00004689353,0.00003285509,0.001269972,0.000005353053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703727,0.002751445,0.0003157257,0.0007751014,0.00003292948,0.0001407214,0.0174663,0.00006085839,0.008084129],"genre_scores_gemma":[0.9873357,0.001578132,0.0004762383,0.0001725448,0.00001692108,0.00004896684,0.007916799,0.000008434766,0.002446209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01911389,"threshold_uncertainty_score":0.1386817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795411125921676,"score_gpt":0.3688619175661793,"score_spread":0.3309078063069625,"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."}}