{"id":"W6920289542","doi":"10.6068/dp14ba81e5e4f26","title":"Most Recent Data (1971). Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Estimates of population, by marital status, age group and sex | Variable: 90 years and over, Married, Males | Units: # Persons x 1,000, 1971. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Population statistics; Marital status; Economic statistics; Residence; Socioeconomic status; Demographic 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":[0.002287562,0.002309037,0.002306161,0.00717769,0.003371013,0.004260269,0.004882437,0.001427761,0.1429758],"category_scores_gemma":[0.01902572,0.00172151,0.001942419,0.04094789,0.000655014,0.002243048,0.0022786,0.00319411,0.08045295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05265648,"about_ca_system_score_gemma":0.1282619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945887,"about_ca_topic_score_gemma":0.9920196,"domain_scores_codex":[0.9963055,0.0002527849,0.0003810991,0.0003851595,0.001893861,0.0007816186],"domain_scores_gemma":[0.9658997,0.001229464,0.0006539652,0.0008922285,0.02979286,0.001531771],"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":[0.00001777173,0.000006459744,0.0005892295,0.0002235901,0.00001246455,0.000006153183,0.00001970792,0.0001129706,0.000008566295,0.0003311656,0.996278,0.002393912],"study_design_scores_gemma":[0.0001369746,0.00000973084,0.01756053,0.0006658179,0.00004666965,0.00002235464,0.0003493837,0.0003351315,0.000123408,0.0006060341,0.9800715,0.00007243995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005077296,0.00006793661,0.00004012735,0.0001359622,0.00003902347,0.00002478052,0.9978145,0.00007816854,0.001748721],"genre_scores_gemma":[0.001055847,0.000473317,0.0007910928,0.0002178389,0.00002423497,0.0002058187,0.9901161,0.000179031,0.006936821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1429758,"threshold_uncertainty_score":0.4783016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598719869305228,"score_gpt":0.261368966000743,"score_spread":0.2353817673076907,"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."}}