{"id":"W6957846647","doi":"10.6068/dp14ba8f4061197","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Commuting to Work | Country: Canada | Table: Labour Force Survey estimates (LFS), employees by union status, establishment size, job tenure, type of work and job permanency | Variable: Permanent employees, 20 to 99 employees, All tenure, Employees who are union members and/or covered by a collective agreement, Part-time employees | Units: % 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":"Residence; Census; Economic statistics; Official statistics; Summary statistics; Work (physics); Socioeconomic status; General Social Survey; Time-use survey","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":[0.002120469,0.002359437,0.002722414,0.008275918,0.003507215,0.004429362,0.005407315,0.00140487,0.09376592],"category_scores_gemma":[0.01686914,0.001720381,0.002235693,0.03844799,0.000569963,0.002234457,0.002348635,0.00298748,0.04916838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0525401,"about_ca_system_score_gemma":0.1391533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965186,"about_ca_topic_score_gemma":0.9952489,"domain_scores_codex":[0.9958598,0.0002645358,0.000460653,0.0005180152,0.001898832,0.0009981334],"domain_scores_gemma":[0.9702344,0.0009897276,0.0008559662,0.0007732192,0.0256342,0.001512416],"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":[0.00002669318,0.000007519858,0.001287034,0.0002913376,0.00002463455,0.000006971844,0.00002985927,0.00009628016,0.000008869088,0.0003569766,0.995635,0.002228734],"study_design_scores_gemma":[0.0001916779,0.00001826236,0.04044531,0.001180137,0.0001076027,0.00003400097,0.000781374,0.0005784769,0.0001765826,0.0006814801,0.9556994,0.0001056732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008055044,0.0000720192,0.00003376782,0.0001468641,0.000036178,0.00002116014,0.9985108,0.00006382835,0.001034822],"genre_scores_gemma":[0.001155612,0.0004149001,0.0004808177,0.0002177439,0.00002266705,0.0001717958,0.9918121,0.0001157623,0.005608568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09376592,"threshold_uncertainty_score":0.3812069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269583842420761,"score_gpt":0.2635350238693612,"score_spread":0.2365766396272851,"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."}}