{"id":"W6901543776","doi":"10.6068/dp14ba8b1c80140","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: Employees paid by the hour, Activities related to real estate, 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; Census; Economic statistics; Wages and salaries; Summary statistics; Official statistics; Socioeconomic status; Descriptive statistics","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":[0.001705799,0.002673574,0.002696279,0.007906947,0.00282415,0.004733722,0.005177249,0.001481822,0.07595135],"category_scores_gemma":[0.01508788,0.001674887,0.001959746,0.03891255,0.0005721402,0.002341844,0.002023565,0.003149757,0.05900905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04010344,"about_ca_system_score_gemma":0.09513004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918537,"about_ca_topic_score_gemma":0.9903081,"domain_scores_codex":[0.9964802,0.0002128175,0.0003421792,0.0005115427,0.001580015,0.0008732617],"domain_scores_gemma":[0.9699574,0.001069002,0.00104454,0.0009094156,0.02569878,0.001320741],"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":[0.00002559308,0.000007224637,0.001076979,0.0001808271,0.00001877381,0.000005888422,0.0000144943,0.0001079078,0.000008243338,0.0002230913,0.9970624,0.001268546],"study_design_scores_gemma":[0.0002147459,0.00001466891,0.03031172,0.000807117,0.00006509526,0.00002679427,0.0004271754,0.0006149801,0.0002232778,0.0006078914,0.9665908,0.00009573515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005171947,0.00003538818,0.00001466828,0.00007801717,0.00001926287,0.00000830591,0.999213,0.0000513028,0.0005284126],"genre_scores_gemma":[0.0005280846,0.0001469815,0.0001871358,0.00008136124,0.00001313764,0.00005836125,0.996532,0.00006822647,0.002384684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07595135,"threshold_uncertainty_score":0.2909722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05312143320278848,"score_gpt":0.2823944059534874,"score_spread":0.2292729727506989,"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."}}