{"id":"W6957660266","doi":"10.6068/dp14ba831efed89","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Industries | Country: Canada | Table: Labour statistics consistent with the System of National Accounts (SNA), by province and territory, job category and North American Industry Classification System (NAICS) | Variable: Automotive equipment rental and leasing, Compensation of employees | Units: $CAD x 1,000, 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-139.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Summary statistics; Official statistics; Wages and salaries; Descriptive statistics; National accounts; Social statistics; Compensation of employees","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":[0.002184773,0.002486466,0.002819607,0.009272046,0.003561365,0.005200361,0.005150758,0.001551241,0.1033994],"category_scores_gemma":[0.01883044,0.001886535,0.001985037,0.04481282,0.0006153496,0.002716215,0.002353021,0.003034237,0.06834719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05423968,"about_ca_system_score_gemma":0.1359273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942001,"about_ca_topic_score_gemma":0.9919792,"domain_scores_codex":[0.9954015,0.0002947112,0.0004681015,0.0006120801,0.00212511,0.001098459],"domain_scores_gemma":[0.9635067,0.001294711,0.001000757,0.001084151,0.03147847,0.001635202],"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":[0.0000186913,0.000005242211,0.0007190674,0.0001768551,0.00001463438,0.000005528141,0.00001756347,0.00007778599,0.000007330641,0.0003104868,0.9971874,0.001459344],"study_design_scores_gemma":[0.0001199102,0.00001002635,0.01918113,0.0007196819,0.00005212909,0.0000233143,0.0004113553,0.0004047259,0.0001589774,0.0006010287,0.9782394,0.00007836003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004618617,0.0000439385,0.00002216916,0.0001126252,0.00002695183,0.00001192845,0.9988097,0.00006001249,0.0008665117],"genre_scores_gemma":[0.0006495313,0.0002426489,0.0003435244,0.0001387179,0.00001772041,0.0001059681,0.993747,0.0001171503,0.004637681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1033994,"threshold_uncertainty_score":0.3935383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550833513240913,"score_gpt":0.2419822095237929,"score_spread":0.2164738743913838,"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."}}