{"id":"W2792052589","doi":"10.1503/cmaj.170272","title":"Cancer incidence and survival among Métis adults in Canada: results from the Canadian census follow-up cohort (1992–2009)","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Métis National Council; Cancer Care Ontario; Public Health Ontario; Statistics Canada","funders":"","keywords":"Medicine; Relative survival; Demography; Relative risk; Incidence (geometry); Confidence interval; Poisson regression; Cancer registry; Rate ratio; Cancer; Cohort; Internal medicine; Population; Environmental health","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":[0.0003651141,0.0002476327,0.0003421941,0.001383601,0.00117276,0.00047773,0.000608627,0.0002206587,0.001450951],"category_scores_gemma":[0.0008946335,0.0002087805,0.0004531261,0.003293233,0.0001836213,0.0002434461,0.0004203576,0.000424008,0.0002488227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01371608,"about_ca_system_score_gemma":0.0135565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910472,"about_ca_topic_score_gemma":0.9939996,"domain_scores_codex":[0.9996476,0.00001352966,0.00002514622,0.00005034584,0.0001793424,0.00008404599],"domain_scores_gemma":[0.9992204,0.00001534151,0.000125746,0.00002254353,0.000498024,0.00011793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001075916,0.00002132594,0.983604,0.0001350173,0.0001436435,0.00005373512,0.0002404638,0.0001921581,0.0001740704,0.000116638,0.0101165,0.005094807],"study_design_scores_gemma":[0.000008476713,0.000009605054,0.9977021,0.00002999052,0.00003371751,0.00003235066,0.0001405183,0.0001806791,0.00003690663,0.00001296647,0.001807984,0.000004823823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7851315,0.003981944,0.0003840429,0.000776821,0.00004717669,0.0001558085,0.2034323,0.00008351019,0.006006945],"genre_scores_gemma":[0.9456524,0.001889487,0.0005306044,0.0002041703,0.00001676199,0.00008521416,0.04943771,0.00001254586,0.002171169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01371608,"threshold_uncertainty_score":0.09951758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178059640540059,"score_gpt":0.2720681529419051,"score_spread":0.2502875565365045,"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."}}