{"id":"W2574415421","doi":"","title":"Linking the Canadian Community Health Survey and the Canadian Mortality Database: An enhanced data source for the study of mortality.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; McGill University; Health Canada; Geological Survey of Canada; Statistics Canada","funders":"","keywords":"Medicine; Underweight; Demography; Record linkage; Community health; Hazard ratio; Mortality rate; Population; Overweight; Environmental health; Obesity; Gerontology; Public health; Confidence interval; 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":[0.02228877,0.00129599,0.001661512,0.01661774,0.004327383,0.002934552,0.004711918,0.001197755,0.01355281],"category_scores_gemma":[0.0623605,0.001042955,0.001732217,0.03322209,0.0004783732,0.001557897,0.005733293,0.002287776,0.004069834],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03613773,"about_ca_system_score_gemma":0.1662181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771244,"about_ca_topic_score_gemma":0.9797338,"domain_scores_codex":[0.9781725,0.003493687,0.002349551,0.001559528,0.01303179,0.001392943],"domain_scores_gemma":[0.9225702,0.003889996,0.004654839,0.005262861,0.05996592,0.003656164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002799146,0.0001259686,0.08195198,0.003665593,0.000753634,0.000149327,0.0009770736,0.0008896003,0.0004115608,0.00651401,0.7788666,0.1254148],"study_design_scores_gemma":[0.0003379382,0.00006759304,0.4385678,0.003270998,0.0005809739,0.0001789384,0.0008034485,0.002780511,0.00065488,0.002122278,0.5503553,0.0002794369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009678996,0.003932869,0.01188422,0.00428914,0.0005085064,0.003792219,0.947242,0.000869978,0.01780212],"genre_scores_gemma":[0.05199477,0.005821798,0.07447489,0.002243506,0.0003003571,0.007794792,0.8482785,0.0004585283,0.008632839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9638622,"threshold_uncertainty_score":0.2621988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2702216835204931,"score_gpt":0.4105261034620025,"score_spread":0.1403044199415094,"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."}}