{"id":"W6939152426","doi":"10.6068/dp14ba857c1a995","title":"Most Recent Data (2006). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Life expectancy at various ages, by population group and sex | Variable: At 85 years, Educational attainment - secondary graduation, Both sexes | Units: Years, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-001.","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; Life expectancy; Population; Socioeconomic status; Official statistics; Population statistics; Educational attainment; Economic statistics","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":[0.002153556,0.001941721,0.002304519,0.006064034,0.003199343,0.003587177,0.004299331,0.001292438,0.1139005],"category_scores_gemma":[0.01644902,0.001452359,0.001915795,0.0352406,0.0005925586,0.001852125,0.001986903,0.002862446,0.05924873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04949551,"about_ca_system_score_gemma":0.1303173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945928,"about_ca_topic_score_gemma":0.9922813,"domain_scores_codex":[0.9965807,0.0002310706,0.000395827,0.0003801059,0.001664192,0.0007482027],"domain_scores_gemma":[0.9676563,0.001235432,0.0007977973,0.0008577898,0.02785918,0.001593582],"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":[0.00002074402,0.000006643668,0.0007691518,0.0002887272,0.00001539116,0.000005508688,0.00002581792,0.0000874345,0.000008641614,0.0002625872,0.9967553,0.001754087],"study_design_scores_gemma":[0.0001660214,0.0000147647,0.02744579,0.00105087,0.00007744459,0.00002799005,0.0005023013,0.0003298715,0.0001502202,0.0006044946,0.9695386,0.00009161206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005345737,0.00006195695,0.00002331712,0.0001277061,0.00003000503,0.00001757083,0.9985544,0.00005452368,0.001077045],"genre_scores_gemma":[0.001131898,0.0004532223,0.0005796845,0.0002515801,0.00002352487,0.0001764958,0.9916497,0.0001329061,0.005601018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1139005,"threshold_uncertainty_score":0.3810351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569455776179006,"score_gpt":0.2507298778758095,"score_spread":0.2350353201140194,"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."}}