{"id":"W6976609443","doi":"10.6068/dp14ba83c85944","title":"Trend 1995 - 2001. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: General social survey (GSS), population 15 years and over, by union frequency and age group | Variable: 60 to 64 years, Number of persons, No union | Units: , 1995-2001. 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; Social statistics; Economic statistics; Population statistics; Socioeconomic status; Demographic statistics; Residence","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":[0.002977471,0.002343376,0.002549374,0.007221693,0.003211774,0.00451245,0.005468393,0.00148637,0.1073859],"category_scores_gemma":[0.0199713,0.001896045,0.00216433,0.03319575,0.0005719687,0.002356754,0.002410735,0.003404531,0.05643632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05612316,"about_ca_system_score_gemma":0.1379434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946849,"about_ca_topic_score_gemma":0.9921572,"domain_scores_codex":[0.99608,0.000361401,0.0004643995,0.0004549827,0.001820485,0.0008187752],"domain_scores_gemma":[0.9677069,0.00114776,0.0007118919,0.0009498112,0.02795023,0.001533388],"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":[0.00002744203,0.000006965288,0.0008441321,0.0002590959,0.00002269736,0.000007678393,0.00002713593,0.0001606974,0.000009490913,0.0004362276,0.9951636,0.003034711],"study_design_scores_gemma":[0.0002154643,0.00001539347,0.02210103,0.001046856,0.00008717211,0.00003314494,0.0004900872,0.0007605306,0.0001575424,0.0009592226,0.974031,0.0001025177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000067651,0.00007673506,0.0000726432,0.000194835,0.00005158745,0.00003898811,0.9977502,0.0001207606,0.001626636],"genre_scores_gemma":[0.00124693,0.0004939053,0.001167469,0.0002789194,0.00002603866,0.000320422,0.9897466,0.0002300224,0.006489807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1073859,"threshold_uncertainty_score":0.407204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480070525733601,"score_gpt":0.2698492771799944,"score_spread":0.2450485719226584,"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."}}