{"id":"W6976571760","doi":"10.6068/dp14ba8e3061251","title":"Most Recent Data (2006). Statistics Canada. CANSIM: Health - Life Expectancy and Deaths | Country: Canada | Table: Mortality, by selected causes of death, by income adequacy quintile, age group, and sex | Variable: Total, 25 years or older, Suicide, High 95% confidence interval, rate ratio, Males, Income adequacy quintile 1 (lowest) | Units: Age-standardized rate per 100,000 population, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-113.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Health, Education, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Economic statistics; Census; Official statistics; Population statistics; Health statistics; Socioeconomic status; Infant mortality; Demographic statistics; Mortality 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":[0.002580384,0.002268236,0.002620501,0.006244063,0.003075963,0.00422624,0.005088933,0.001571517,0.1073679],"category_scores_gemma":[0.02227835,0.00161726,0.002224553,0.03574454,0.0007015052,0.001990352,0.002121899,0.003317641,0.05785792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05252417,"about_ca_system_score_gemma":0.128874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937261,"about_ca_topic_score_gemma":0.9917651,"domain_scores_codex":[0.9961868,0.0003157275,0.0004802828,0.0004678332,0.001711632,0.000837851],"domain_scores_gemma":[0.9574032,0.002041331,0.001060862,0.001136879,0.03640052,0.001957295],"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":[0.00002310259,0.000006297839,0.0006735622,0.0002736115,0.00001658469,0.000004751882,0.00001503583,0.0000896187,0.000007455909,0.0002043672,0.9973616,0.001324053],"study_design_scores_gemma":[0.0002858056,0.0000143057,0.0246207,0.001340228,0.0001048805,0.00002992423,0.0003904114,0.0004732555,0.000166778,0.0007359908,0.9717355,0.0001022312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003242892,0.00004839727,0.00001550186,0.0001111702,0.00002104101,0.00001200424,0.9991272,0.00004257449,0.0005896933],"genre_scores_gemma":[0.0007434618,0.000311993,0.000413909,0.0002238238,0.00001909365,0.0001342673,0.9953323,0.00009126907,0.002729869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1073679,"threshold_uncertainty_score":0.3810913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332582675474254,"score_gpt":0.3171424529504772,"score_spread":0.2738166261957347,"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."}}