{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002185998,0.0008020144,0.001739739,0.00008600696,0.0008089407,0.0005684934,0.001856415,0.000441045,0.002781213],"category_scores_gemma":[0.001312554,0.0007423228,4.075264e-7,0.0009269887,0.0005684153,0.0008282404,0.0006349466,0.0007101362,0.000004355031],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006647995,"about_ca_system_score_gemma":0.03652864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999263,"about_ca_topic_score_gemma":0.999731,"domain_scores_codex":[0.9920479,0.002064898,0.001732155,0.001604328,0.001412042,0.001138656],"domain_scores_gemma":[0.9936567,0.00118882,0.001391132,0.002110184,0.0005049316,0.001148259],"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":[0.00009041468,0.00009177194,0.0009435696,0.0007871521,0.0003314719,0.0001086522,0.000108077,0.000001976873,0.000002377122,0.0007814026,0.9966598,0.00009334247],"study_design_scores_gemma":[0.0009136332,0.0001286613,0.0005854099,0.0001897478,0.0002824544,0.00002384544,0.002264081,0.00009374436,3.798273e-8,0.000001666927,0.9946926,0.0008241431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000770905,0.01499638,0.00003343108,0.00003386601,0.0007323529,0.001488833,0.9823482,0.00008833833,0.0002014888],"genre_scores_gemma":[0.000611842,0.03685967,0.0001606874,0.000572643,0.0002112866,0.00003654118,0.9581011,0.0001401794,0.003306031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03586385,"threshold_uncertainty_score":0.9995028,"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."}}