{"id":"W6976497002","doi":"10.6068/dp14ba89ef25e75","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, Less than 20 employees, 1 to 12 months, Total employees, All 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; Official statistics; Economic 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":[0.002125413,0.002403121,0.002636952,0.007758847,0.003311335,0.004345651,0.005236106,0.001368604,0.09547374],"category_scores_gemma":[0.01666213,0.001668124,0.002124663,0.03626793,0.0005578458,0.002240055,0.002291232,0.002927487,0.05401989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04893652,"about_ca_system_score_gemma":0.1251234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957293,"about_ca_topic_score_gemma":0.9942831,"domain_scores_codex":[0.9961487,0.000261111,0.0004168581,0.0005068853,0.00173454,0.0009319098],"domain_scores_gemma":[0.9718383,0.001009143,0.0008314257,0.0007827053,0.02405125,0.00148717],"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":[0.00002500378,0.000006703696,0.001152338,0.0002576687,0.0000212572,0.000006390895,0.00002670709,0.00009221624,0.000008763236,0.0003070807,0.9960348,0.002061153],"study_design_scores_gemma":[0.0001801273,0.00001580125,0.03394209,0.001060133,0.00008979447,0.00003092301,0.0006723496,0.0005337662,0.0001681094,0.0006536423,0.9625553,0.00009808323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006815689,0.00005901718,0.00003132466,0.0001273536,0.0000302599,0.00001768072,0.9987042,0.0000628083,0.0008993121],"genre_scores_gemma":[0.000960568,0.0003423688,0.0004590493,0.0001865677,0.0000197196,0.0001578248,0.9927569,0.0001175795,0.00499936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09547374,"threshold_uncertainty_score":0.355061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979688828848872,"score_gpt":0.2648555491894309,"score_spread":0.2350586609009422,"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."}}