{"id":"W6957877310","doi":"10.6068/dp14ba8d346540","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, All sizes, 1 to 12 months, Union coverage rate (by a collective agreement), Part-time employees | Units: % %, 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; Official statistics; Economic statistics; Work (physics); Summary statistics; Socioeconomic status; General Social 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":[0.002266104,0.002437828,0.002714496,0.008288031,0.003573742,0.00470441,0.0055055,0.001471747,0.09973351],"category_scores_gemma":[0.01843394,0.001797436,0.002218606,0.03923099,0.0006001298,0.002435203,0.002488475,0.003051487,0.05368812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05481354,"about_ca_system_score_gemma":0.1445154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962816,"about_ca_topic_score_gemma":0.994983,"domain_scores_codex":[0.9955561,0.000293988,0.0004994723,0.0005715148,0.002023494,0.001055471],"domain_scores_gemma":[0.9649584,0.001181978,0.0009878067,0.0009119936,0.03022681,0.001733014],"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":[0.00002547511,0.000007157693,0.001178871,0.0002723735,0.00002264598,0.000006556503,0.00002994985,0.00008923543,0.000009261877,0.0003404973,0.9960099,0.002008101],"study_design_scores_gemma":[0.0001826429,0.00001640857,0.03389264,0.001108346,0.00009585911,0.00003150811,0.000727392,0.0004906065,0.000175593,0.0006726824,0.9625046,0.0001015935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007253743,0.00006237447,0.00003232484,0.0001420081,0.00003434765,0.0000212233,0.9985244,0.00006446803,0.001046343],"genre_scores_gemma":[0.001032662,0.0003644107,0.0004787531,0.0002215904,0.00002193684,0.0001765617,0.9921364,0.0001293285,0.005438426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09973351,"threshold_uncertainty_score":0.3977019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308110116248292,"score_gpt":0.2550329766272649,"score_spread":0.231951875464782,"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."}}