{"id":"W6938931639","doi":"10.6068/dp14ba8e650d894","title":"Most Recent Data (2006). Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Mortality, by selected causes of death, by income adequacy quintile, age group, and sex | Variable: 45 to 64 years, Amenable to medical intervention, Low 95% confidence interval, rate difference, Females, Income adequacy quintile 4 | Units: Age-standardized rate per 100,000 population, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-159.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demographic statistics; Population statistics; Population; Socioeconomic status; Economic statistics; Official statistics; Fertility; Birth rate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002443834,0.00216223,0.00250186,0.006213579,0.003121288,0.004091626,0.004953151,0.00153057,0.0995545],"category_scores_gemma":[0.02022522,0.001600471,0.002138697,0.03338918,0.0006433695,0.00183494,0.002221753,0.003232065,0.05089915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05116276,"about_ca_system_score_gemma":0.1311709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945514,"about_ca_topic_score_gemma":0.9931636,"domain_scores_codex":[0.996506,0.0002607283,0.0004385763,0.0004213695,0.001594984,0.0007782901],"domain_scores_gemma":[0.9630884,0.001535445,0.0009180256,0.000986826,0.0316445,0.00182684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002236025,0.000007009156,0.0008401704,0.0002689244,0.00001682043,0.000005270795,0.00002003733,0.00009577179,0.000007818645,0.0002203689,0.9969953,0.001500184],"study_design_scores_gemma":[0.0003013597,0.00001592008,0.03334343,0.001374784,0.0001006307,0.00003498297,0.0005079727,0.0005308514,0.0001746847,0.0007413583,0.962763,0.0001110076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004469476,0.00004715767,0.00001880316,0.0001176963,0.00002525298,0.00001612546,0.9990177,0.0000453504,0.0006672243],"genre_scores_gemma":[0.000897171,0.0003183997,0.0004921986,0.0002265235,0.00002042249,0.0001662064,0.9945884,0.00008631858,0.003204406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0995545,"threshold_uncertainty_score":0.3712136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534380362118181,"score_gpt":0.2807643144146806,"score_spread":0.2554205107934988,"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."}}