{"id":"W6901597776","doi":"10.6068/dp14ba7b9b17f20","title":"Most Recent Data (1996). Statistics Canada. CANSIM: Health - Life Expectancy and Deaths | Country: Canada | Table: Mortality, by selected causes of death (ICD-9) and sex | Variable: All malignant neoplasms (cancers), Both sexes | Units: Age-standardized rate per 100,000 population, 1996. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-113.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Health statistics; Census; Population statistics; Official statistics; Economic statistics; Infant mortality; Social 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":[0.002817063,0.002200295,0.002501148,0.00708594,0.003372853,0.004736477,0.005213509,0.001470442,0.1108378],"category_scores_gemma":[0.02191446,0.001789834,0.00212388,0.03922219,0.0006779553,0.002347551,0.002193939,0.003487061,0.0647419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06996581,"about_ca_system_score_gemma":0.1599646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995,"about_ca_topic_score_gemma":0.9926496,"domain_scores_codex":[0.995162,0.0003498236,0.0005807094,0.0005144224,0.00234788,0.001045265],"domain_scores_gemma":[0.9552739,0.001689442,0.001015781,0.00106841,0.03891696,0.002035471],"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":[0.00002363349,0.00000684758,0.0007235708,0.0002673388,0.0000151122,0.000005728896,0.00001863664,0.00009793652,0.000008346242,0.0003048647,0.9966998,0.001828249],"study_design_scores_gemma":[0.0001875297,0.00001264482,0.02626641,0.001018662,0.00007874386,0.00002689159,0.0003856141,0.0003475093,0.0001606506,0.0006431207,0.9707838,0.00008835874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004306575,0.00006527221,0.00002406356,0.0001448071,0.00003114047,0.00002162203,0.9983426,0.00005286177,0.001274531],"genre_scores_gemma":[0.001031715,0.0005074328,0.0006049296,0.0002659946,0.00002362465,0.0002068334,0.9912411,0.0001375342,0.005980827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1108378,"threshold_uncertainty_score":0.5076399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210792238152782,"score_gpt":0.2877724515899049,"score_spread":0.2456645292083771,"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."}}