{"id":"W6901745586","doi":"10.6068/dp14ba8b4510c13","title":"Trend 1983 - 2000. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Average hourly earnings and average weekly hours of employees paid by the hour (SEPH) | Variable: Average weekly hours, Including overtime, Sports and recreation clubs and services | Units: , 1983-2000. 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; Census; Summary statistics; Economic statistics; Recreation; Wages and salaries; Official statistics; Socioeconomic status; Wage; Personal income","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":[0.001783333,0.002409565,0.002507609,0.008177066,0.003031666,0.004629549,0.005078456,0.001450403,0.07578214],"category_scores_gemma":[0.01413956,0.001628705,0.001743776,0.03958045,0.0006036268,0.002232625,0.00199701,0.00306052,0.05201318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04647178,"about_ca_system_score_gemma":0.1090412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947162,"about_ca_topic_score_gemma":0.9929326,"domain_scores_codex":[0.9963606,0.000217309,0.0003337175,0.0004874067,0.001670682,0.0009302289],"domain_scores_gemma":[0.9744072,0.0009169517,0.0008964096,0.0007652995,0.0217678,0.001246291],"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":[0.0000225883,0.000007699984,0.001060645,0.0001742075,0.00001788878,0.000006467066,0.0000190781,0.0001255349,0.000007748697,0.0003471509,0.9966798,0.001531224],"study_design_scores_gemma":[0.0001616687,0.0000127283,0.02747396,0.0007055753,0.00005697476,0.00002370357,0.0004727287,0.000628721,0.000205932,0.0006792216,0.9694887,0.0000899653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006158721,0.00004187593,0.00002255083,0.00009852531,0.00002117406,0.00001171763,0.9989266,0.00005980332,0.0007561734],"genre_scores_gemma":[0.0008422924,0.0002118515,0.0002927328,0.0001057622,0.00001462523,0.00008617186,0.9948579,0.00008639955,0.003502287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07578214,"threshold_uncertainty_score":0.3371779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554584085665275,"score_gpt":0.2319297726557164,"score_spread":0.2163839317990636,"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."}}