{"id":"W6938788904","doi":"10.6068/dp14ba82b526963","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 90 years, Income adequacy quintile 1 (lowest), Females | 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; Official statistics; Socioeconomic status; Economic statistics; Population statistics; Summary statistics; Social 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":[0.002154816,0.001886475,0.002202829,0.005962024,0.003222836,0.003575884,0.004203679,0.001233882,0.1185224],"category_scores_gemma":[0.01638641,0.001457146,0.001884087,0.03406954,0.0005824838,0.001820563,0.001981099,0.002825937,0.06060172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05095811,"about_ca_system_score_gemma":0.1342744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949478,"about_ca_topic_score_gemma":0.9926915,"domain_scores_codex":[0.9965615,0.0002283402,0.0003800304,0.0003692955,0.00169737,0.0007634189],"domain_scores_gemma":[0.9661289,0.001193405,0.0008008797,0.0008529769,0.02936474,0.001659012],"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":[0.00002104149,0.000006821511,0.0008081968,0.0002758225,0.00001442028,0.000005551904,0.00002614374,0.00008572088,0.000008541768,0.0002728596,0.9965976,0.001877374],"study_design_scores_gemma":[0.0001581506,0.00001462083,0.02868652,0.001036009,0.00007271756,0.0000279794,0.0005086336,0.0003301203,0.000150316,0.0005846599,0.9683409,0.00008928578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005969026,0.00006459696,0.00002503517,0.0001390662,0.0000312807,0.00001968494,0.998314,0.00005931885,0.001287432],"genre_scores_gemma":[0.001256913,0.0004770315,0.0006470364,0.0002697813,0.0000242914,0.0001901772,0.9902794,0.0001461342,0.00670927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1185224,"threshold_uncertainty_score":0.3964968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004496199786011,"score_gpt":0.2550238447206385,"score_spread":0.2349788827227784,"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."}}