{"id":"W6901377907","doi":"10.6068/dp14ba8c1214d78","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, Refined petroleum and coal products industries | 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; Economic statistics; Summary statistics; Official statistics; Wages and salaries; Socioeconomic status; Personal income; Wage","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":[0.001751976,0.002393308,0.002521718,0.007994111,0.003023339,0.004558041,0.005003232,0.00144137,0.07888082],"category_scores_gemma":[0.0139859,0.001636028,0.001775667,0.03911178,0.0005891451,0.002179781,0.001994237,0.003009686,0.05304335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04625963,"about_ca_system_score_gemma":0.1084419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946326,"about_ca_topic_score_gemma":0.9928212,"domain_scores_codex":[0.9964209,0.0002144845,0.000328015,0.0004639749,0.001655747,0.0009169767],"domain_scores_gemma":[0.9742438,0.0008762859,0.0008716318,0.0007381932,0.02205641,0.001213726],"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":[0.00002366488,0.000007330046,0.001042936,0.0001862502,0.00001840615,0.000006756685,0.00001961772,0.000126301,0.000008120714,0.0003475242,0.9966826,0.001530598],"study_design_scores_gemma":[0.0001749636,0.00001334685,0.02886657,0.0007333338,0.00005995625,0.00002540381,0.0004794128,0.0005877748,0.0002089472,0.0006952603,0.9680636,0.00009146492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000582267,0.00004142423,0.00002201154,0.00009679102,0.00002071906,0.00001179652,0.9989437,0.00005869289,0.0007465559],"genre_scores_gemma":[0.0008734817,0.0002235595,0.0003095707,0.0001129768,0.00001529043,0.00008939774,0.9945857,0.00009110272,0.003698947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07888082,"threshold_uncertainty_score":0.3356386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192453176594474,"score_gpt":0.2321242691632874,"score_spread":0.2101997373973426,"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."}}