{"id":"W6920135920","doi":"10.6068/dp14ba895ec901","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: 25 to 54 years, Professional, scientific and technical services, Females, Union coverage | 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; Economic statistics; Official statistics; Work (physics); Summary statistics; Socioeconomic status; 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":[],"consensus_categories":[],"category_scores_codex":[0.002161449,0.002440832,0.00273783,0.007652509,0.003392925,0.004382083,0.005362271,0.001429496,0.0987481],"category_scores_gemma":[0.01709354,0.001717257,0.002188526,0.03628196,0.0005507462,0.002177446,0.002312963,0.002943718,0.05579443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04666724,"about_ca_system_score_gemma":0.1225068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952421,"about_ca_topic_score_gemma":0.9938428,"domain_scores_codex":[0.9961873,0.0002682381,0.0004158502,0.000506197,0.001708456,0.0009140119],"domain_scores_gemma":[0.9712257,0.001067984,0.0008082598,0.0008133904,0.02458383,0.001500797],"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":[0.00002587108,0.000006824762,0.001081608,0.0002496924,0.00002188319,0.000006332421,0.00002604752,0.00009153804,0.000008800236,0.0002916623,0.996276,0.001913773],"study_design_scores_gemma":[0.0002130056,0.00001674703,0.03177705,0.001098811,0.00009540637,0.00003169623,0.000661766,0.0005251563,0.0001767646,0.0006826229,0.9646208,0.000100153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006486847,0.00005196307,0.00003057791,0.000117761,0.00002933991,0.00001876216,0.9987502,0.00006181924,0.00087474],"genre_scores_gemma":[0.0008607032,0.0003033716,0.0004394981,0.0001831217,0.00001936119,0.0001622186,0.9933025,0.0001113375,0.004617882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0987481,"threshold_uncertainty_score":0.3385962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291266784770873,"score_gpt":0.2676569927248159,"score_spread":0.2385303142477286,"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."}}