{"id":"W6938992079","doi":"10.6068/dp14ba85da10748","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Average hourly earnings for employees paid by the hour (SEPH), for selected industries classified using the North American Industry Classification System (NAICS) | Variable: Vocational rehabilitation services, Including 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; Census; Economic statistics; Overtime; Wages and salaries; Official statistics; Descriptive statistics; Summary statistics; Socioeconomic status","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":[0.001666997,0.00243773,0.002603603,0.007789582,0.00285254,0.004578297,0.005152252,0.001538571,0.07971589],"category_scores_gemma":[0.01547259,0.001570296,0.001799556,0.03676166,0.0005784965,0.002209172,0.002099995,0.003046622,0.05776404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03881336,"about_ca_system_score_gemma":0.09238328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914358,"about_ca_topic_score_gemma":0.9897633,"domain_scores_codex":[0.9966612,0.0002170614,0.0003293182,0.0004897786,0.001460855,0.0008417207],"domain_scores_gemma":[0.9720507,0.001130505,0.001017301,0.0008885892,0.0235389,0.001374052],"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":[0.00002197166,0.000006643068,0.0009194301,0.0001625117,0.00001676535,0.000005648528,0.00001511722,0.000107424,0.000007013856,0.0002521754,0.997309,0.0011763],"study_design_scores_gemma":[0.0001963674,0.00001292212,0.02560946,0.000805042,0.00005917677,0.00002618099,0.0004467854,0.0006338995,0.0001941115,0.0006745711,0.9712478,0.00009369106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004675584,0.00003198943,0.00001596026,0.00008113669,0.00001717642,0.000008197314,0.9992586,0.00004740033,0.0004928611],"genre_scores_gemma":[0.0005384177,0.0001453957,0.0002023141,0.000084864,0.00001224804,0.00006498265,0.996618,0.00006627746,0.002267495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07971589,"threshold_uncertainty_score":0.281612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0468816993621148,"score_gpt":0.2779418993364435,"score_spread":0.2310601999743287,"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."}}