{"id":"W6939103129","doi":"10.6068/dp14ba88fc24838","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | 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 repair and maintenance, Total compensation per hour worked | Units: , 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Census; Summary statistics; Official statistics; Wages and salaries; National accounts; Socioeconomic status; Statistics education; National Income and Product Accounts","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":[0.001698351,0.002448428,0.002634758,0.008144554,0.002943322,0.004828949,0.00489872,0.001447964,0.08448368],"category_scores_gemma":[0.01509211,0.00166717,0.00180941,0.03944086,0.0006004377,0.002414429,0.002125613,0.003037366,0.06162827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04528605,"about_ca_system_score_gemma":0.1100056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993102,"about_ca_topic_score_gemma":0.9915383,"domain_scores_codex":[0.9962072,0.0002376733,0.0003573091,0.0005164946,0.001763758,0.0009174475],"domain_scores_gemma":[0.9722092,0.001005869,0.0009283419,0.0008188964,0.02374219,0.001295538],"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":[0.00001882084,0.000005834374,0.0007773156,0.0001533765,0.00001510601,0.000005243149,0.00001480311,0.00008628278,0.000006796523,0.0002694315,0.9974961,0.001151051],"study_design_scores_gemma":[0.0001462285,0.00001067642,0.02161003,0.000705149,0.00005264794,0.00002436134,0.0004134856,0.0005084932,0.0001883697,0.0005834486,0.9756774,0.00007979879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005113215,0.0000394765,0.0000178917,0.0000907315,0.00002091333,0.000009346242,0.9990466,0.00005125014,0.000672634],"genre_scores_gemma":[0.0006025475,0.0001794103,0.0002380972,0.00009889352,0.00001440376,0.0000730735,0.995528,0.00008265126,0.003182963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08448368,"threshold_uncertainty_score":0.3285748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417241827825836,"score_gpt":0.2044124626090733,"score_spread":0.190240044330815,"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."}}