{"id":"W6976607349","doi":"10.6068/dp14ba81b08a42","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, Participation rate, 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001938638,0.001393432,0.001625602,0.0000973198,0.0009533961,0.001261955,0.001222864,0.0006321336,0.0005507725],"category_scores_gemma":[0.0004083865,0.001443115,3.452303e-7,0.0005027572,0.001326721,0.0004554848,0.0007364963,0.001672859,0.000003539717],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008246991,"about_ca_system_score_gemma":0.01783902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999975,"about_ca_topic_score_gemma":0.9999956,"domain_scores_codex":[0.9930059,0.001742786,0.001079029,0.001213772,0.001449397,0.001509134],"domain_scores_gemma":[0.991958,0.002873536,0.001028254,0.0025897,0.0001613453,0.001389177],"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":[0.000353734,0.0001113098,0.004164576,0.0007580065,0.0004016622,0.000340846,0.000008920643,0.00003253376,0.000005133677,0.0001203254,0.9936817,0.00002128996],"study_design_scores_gemma":[0.002465734,0.0001543245,0.002046154,0.0001093168,0.0006047827,0.0000872157,0.0004051595,0.01551736,1.818505e-8,5.622591e-7,0.9770705,0.001538835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001522372,0.005642675,0.000002897665,0.000003508487,0.0004252503,0.000961773,0.9925052,0.00009374182,0.0002127109],"genre_scores_gemma":[0.0006263588,0.0005496712,0.0001337463,0.0004902815,0.000104559,0.00002894063,0.9950788,0.0004710465,0.002516613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01701432,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743044432215213,"score_gpt":0.2503140983178764,"score_spread":0.2228836539957243,"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."}}