{"id":"W6920459426","doi":"10.6068/dp14ba8ba8af979","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: Machinery, equipment and supplies wholesaler-distributors, Total compensation per job | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Census; Official statistics; Wages and salaries; Summary statistics; National accounts; Socioeconomic status; National Income and Product Accounts; 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":[0.00180359,0.002579809,0.002817138,0.008487859,0.003014558,0.004824808,0.0050388,0.001489066,0.0789495],"category_scores_gemma":[0.01590636,0.001726134,0.001912934,0.04191592,0.0006177282,0.002459201,0.002092897,0.003231899,0.05758531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04774669,"about_ca_system_score_gemma":0.1171451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933448,"about_ca_topic_score_gemma":0.9916836,"domain_scores_codex":[0.9959235,0.0002490667,0.0003870566,0.0005489683,0.001906446,0.0009849491],"domain_scores_gemma":[0.968102,0.001035907,0.001014915,0.0008771945,0.02760157,0.001368327],"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":[0.00002155558,0.000006527543,0.0008744904,0.0001660985,0.00001740001,0.000005389655,0.00001510909,0.0000948006,0.000008001466,0.0002647226,0.997377,0.001148927],"study_design_scores_gemma":[0.0001693567,0.00001236185,0.02622589,0.0007427825,0.00006059749,0.00002512416,0.0004422611,0.0005486664,0.0002124473,0.0006220196,0.9708466,0.00009192262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005313538,0.00003845249,0.00001672102,0.0000906007,0.00002278569,0.000009734688,0.999086,0.00005111968,0.0006313929],"genre_scores_gemma":[0.0006340263,0.0001719067,0.0002405731,0.0001030388,0.00001525186,0.00007306237,0.9956641,0.00007902548,0.003018999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0789495,"threshold_uncertainty_score":0.3464281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675421492851085,"score_gpt":0.2269005226612998,"score_spread":0.210146307732789,"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."}}