{"id":"W6901543633","doi":"10.6068/dp14ba8ec060710","title":"Trend 2001 - 2010. 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: Salaried employees paid a fixed salary, Specialty (except psychiatric and substance abuse) hospitals, Including overtime | Units: Current $CAD, 2001-2010. 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; 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":[0.001698712,0.002474834,0.002707949,0.007514392,0.002532089,0.004311659,0.005121056,0.001503319,0.06541151],"category_scores_gemma":[0.01426013,0.001641241,0.00201534,0.03559389,0.0005628438,0.002051106,0.001935123,0.003221706,0.04565246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03968053,"about_ca_system_score_gemma":0.09099881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919923,"about_ca_topic_score_gemma":0.9905577,"domain_scores_codex":[0.9966663,0.000199014,0.0003692977,0.0004799996,0.001458253,0.0008271754],"domain_scores_gemma":[0.9728191,0.001007148,0.001188279,0.0007803785,0.02290596,0.001299048],"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":[0.00003132463,0.000008361702,0.001401165,0.0002236092,0.00002446386,0.000006298996,0.00001479796,0.0001228661,0.000008267739,0.0002272614,0.9966661,0.001265461],"study_design_scores_gemma":[0.0002993136,0.00002004706,0.04478624,0.001022059,0.00008971318,0.00003492118,0.0004812887,0.0007777736,0.0002446612,0.0006359167,0.9514976,0.000110495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000603864,0.00003900508,0.00001287228,0.00008135772,0.00001981759,0.000008778384,0.9992973,0.00003941845,0.0004410394],"genre_scores_gemma":[0.0006631215,0.0001631849,0.0001685947,0.00009752619,0.00001403284,0.0000646116,0.9965843,0.00005338488,0.002191145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06541151,"threshold_uncertainty_score":0.2879037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0488410490471724,"score_gpt":0.271279832849599,"score_spread":0.2224387838024266,"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."}}