{"id":"W6957964355","doi":"10.6068/dp14ba80b653114","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Labour force survey estimates (LFS), by urban and rural areas based on 2006 census boundaries, sex and age group | Variable: 55 years and over, Unemployment, Males, Urban core | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","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; Rural area; Official statistics; Population; Socioeconomic status; Population statistics; American Community Survey; Social statistics; 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":[0.002399815,0.002376361,0.002580325,0.008060978,0.00384135,0.00535174,0.005175867,0.001419716,0.1170695],"category_scores_gemma":[0.02019599,0.001870178,0.002110561,0.04020363,0.0006664523,0.002613756,0.002552409,0.00303292,0.06311936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05466089,"about_ca_system_score_gemma":0.1477001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955811,"about_ca_topic_score_gemma":0.9937885,"domain_scores_codex":[0.9957331,0.0003291327,0.0004909613,0.0005386989,0.001885173,0.001022972],"domain_scores_gemma":[0.9663268,0.001268097,0.0008788571,0.00112405,0.02853725,0.001864915],"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":[0.00002366387,0.000005676237,0.0009039949,0.000217355,0.00001831707,0.000006394869,0.00002575508,0.0000870119,0.000009157501,0.0003725649,0.9962798,0.002050222],"study_design_scores_gemma":[0.0001417765,0.00001154072,0.02042482,0.0009142155,0.00006687755,0.00002828268,0.0005360505,0.0004606105,0.0001544442,0.0007648616,0.9764056,0.00009103426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005546428,0.00005794033,0.0000355685,0.0001536702,0.00003972838,0.00001958847,0.9983449,0.00008290281,0.001210302],"genre_scores_gemma":[0.001061635,0.0003925538,0.000677887,0.0002387682,0.00002466261,0.0001774518,0.9910981,0.0002084141,0.006120558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1170695,"threshold_uncertainty_score":0.3965944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024954772543117,"score_gpt":0.2426988631252948,"score_spread":0.2177440905821778,"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."}}