{"id":"W6939011522","doi":"10.6068/dp14ba8d7a26755","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: 75 years or older, Malignant neoplasms, Low 95% confidence interval, rate difference, Males, Income adequacy quintile 3 | 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; Economic statistics; Socioeconomic status; 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":[0.002388078,0.002138312,0.002419684,0.006204496,0.003134092,0.004054556,0.004786998,0.001413863,0.1070746],"category_scores_gemma":[0.01876506,0.00158868,0.002087232,0.03406974,0.0006060122,0.001877594,0.002141729,0.003065494,0.05326834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05334331,"about_ca_system_score_gemma":0.1362006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950061,"about_ca_topic_score_gemma":0.9933203,"domain_scores_codex":[0.9964417,0.0002595747,0.0004429822,0.0004076971,0.001659408,0.0007887001],"domain_scores_gemma":[0.9624195,0.001414885,0.0008683518,0.0009074623,0.03256761,0.001822125],"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":[0.00002213756,0.000007200707,0.0008653727,0.0002639377,0.00001600707,0.000005632711,0.0000216351,0.0000980274,0.000008064979,0.0002346785,0.996649,0.001808258],"study_design_scores_gemma":[0.0002545065,0.00001553341,0.03325616,0.001223319,0.00009337359,0.00003563964,0.0005006967,0.0004982554,0.0001665222,0.0006984937,0.9631538,0.0001037616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005213043,0.00005585087,0.00002239713,0.0001329104,0.00002896919,0.00001922237,0.9987137,0.0000533545,0.0009214331],"genre_scores_gemma":[0.001039464,0.0003894509,0.0005838993,0.0002597478,0.00002287831,0.0001840995,0.9931162,0.0001065268,0.004297815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1070746,"threshold_uncertainty_score":0.3870346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403835436386835,"score_gpt":0.2638109202620088,"score_spread":0.2397725658981404,"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."}}