{"id":"W6901628965","doi":"10.6068/dp14ba89ef8a578","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Commuting to Work | Country: Canada | Table: Labour force survey estimates (LFS), employees by union coverage, North American Industry Classification System (NAICS), sex and age group | Variable: 65 years and over, Other services, Males, Total employees, covered and not covered by union | Units: # Persons x 1,000, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-135.","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; Residence; Official statistics; Economic statistics; Work (physics); Summary statistics; Socioeconomic status; Descriptive statistics; General Social Survey; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002162663,0.00238655,0.002746205,0.007706659,0.003424441,0.004417304,0.005413166,0.001412724,0.09438918],"category_scores_gemma":[0.01701985,0.001733606,0.002210377,0.03772347,0.000553425,0.002286642,0.002320625,0.002972496,0.05214479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04923818,"about_ca_system_score_gemma":0.1304366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958426,"about_ca_topic_score_gemma":0.9942759,"domain_scores_codex":[0.9960316,0.0002711116,0.0004435975,0.0005094936,0.001794601,0.0009496601],"domain_scores_gemma":[0.9686825,0.001032549,0.0008224986,0.0007997874,0.02717287,0.00148981],"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":[0.00002763457,0.000007633864,0.001192111,0.0002819879,0.00002429943,0.000006979002,0.00002927339,0.0000954939,0.000009470166,0.0003400681,0.9959016,0.002083368],"study_design_scores_gemma":[0.0002042311,0.00001731155,0.03334489,0.001098909,0.0001016183,0.00003277388,0.0006901798,0.00051449,0.0001807854,0.0006805963,0.9630346,0.00009963979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007216396,0.00006000264,0.00003117335,0.000131478,0.00003239654,0.00002048776,0.9986094,0.00006306239,0.0009797651],"genre_scores_gemma":[0.0009641693,0.0003404409,0.0004589629,0.0002015874,0.00002058228,0.0001639671,0.9928128,0.0001162308,0.004921217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9056108,"threshold_uncertainty_score":0.3572496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235937629400155,"score_gpt":0.2448337034245583,"score_spread":0.2224743271305568,"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."}}