{"id":"W6920208894","doi":"10.6068/dp14ba8e243d076","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Average weekly earnings (SEPH), by type of employee for selected industries classified using the North American Industry Classification System (NAICS) | Variable: All employees, Lumber, millwork, hardware and other building supplies merchant wholesalers, Excluding overtime | Units: Current $CAD, 2001-2012. 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; Overtime; Census; Economic statistics; Wages and salaries; Summary statistics; Official statistics; Socioeconomic status; 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":[0.001719431,0.002539218,0.00276122,0.00781271,0.002734985,0.004366601,0.005205932,0.001433795,0.07004169],"category_scores_gemma":[0.01458975,0.001649302,0.00197075,0.03805336,0.0005610588,0.002181574,0.001991555,0.003156804,0.05087978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04030733,"about_ca_system_score_gemma":0.09777179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929548,"about_ca_topic_score_gemma":0.9913844,"domain_scores_codex":[0.9964365,0.0002053731,0.0003633027,0.0005063565,0.001604303,0.0008841404],"domain_scores_gemma":[0.969461,0.001009178,0.001127516,0.0008406362,0.026206,0.001355682],"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":[0.00002945421,0.000008214392,0.001327713,0.0002074521,0.00002221127,0.000006294099,0.00001610628,0.0001174945,0.000008559262,0.0002321931,0.9966722,0.001351999],"study_design_scores_gemma":[0.0002551331,0.00001859489,0.04229302,0.0009340048,0.00008202136,0.00003126697,0.0005084381,0.0007141876,0.0002348658,0.0006179138,0.9542062,0.0001043197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000619442,0.00003731748,0.00001458067,0.00008028217,0.00001938531,0.000009248431,0.9992375,0.00004407486,0.0004957367],"genre_scores_gemma":[0.0006527678,0.0001560191,0.0001827763,0.00008994088,0.00001349931,0.00006651568,0.9962398,0.00005941827,0.002539309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07004169,"threshold_uncertainty_score":0.2924515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06785604052173606,"score_gpt":0.2878900074941981,"score_spread":0.2200339669724621,"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."}}