{"id":"W6977163449","doi":"10.6068/dp14ba8c1254379","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, Business schools and computer and management training, 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; Economic statistics; Census; Wages and salaries; Summary statistics; Socioeconomic status; Official statistics; 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":[0.00191237,0.002516347,0.002746558,0.008265667,0.002935396,0.004763111,0.005294542,0.001467743,0.07341591],"category_scores_gemma":[0.01572237,0.001699891,0.002019011,0.03935586,0.0005849612,0.00233403,0.002094438,0.003209067,0.05462568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04458592,"about_ca_system_score_gemma":0.112317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935463,"about_ca_topic_score_gemma":0.9915028,"domain_scores_codex":[0.9960027,0.0002353291,0.0003868504,0.0005374084,0.001853519,0.0009841374],"domain_scores_gemma":[0.9654786,0.001127398,0.001139244,0.0009298318,0.02985492,0.001470096],"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":[0.00002656156,0.00000753271,0.001152409,0.0001927192,0.00001991346,0.000006128408,0.00001633491,0.0001091438,0.000007973796,0.0002502182,0.9968478,0.001363251],"study_design_scores_gemma":[0.0002038503,0.0000155471,0.03398276,0.0008356866,0.00006945421,0.00002735834,0.0004603702,0.0005791426,0.0002142387,0.0005566358,0.9629586,0.00009634416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006084602,0.00004258969,0.00001777415,0.00009748439,0.00002338715,0.00001045423,0.9990579,0.0000528135,0.0006367514],"genre_scores_gemma":[0.0006975516,0.0001889552,0.0002341446,0.0001095906,0.00001584948,0.00007565164,0.9953852,0.00007826096,0.00321479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07341591,"threshold_uncertainty_score":0.3234951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07355579847393,"score_gpt":0.2825667670509927,"score_spread":0.2090109685770626,"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."}}