{"id":"W6920299354","doi":"10.6068/dp14ba8c488c440","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour force survey estimates (LFS), wages of employees by type of work, North American Industry Classification System (NAICS), sex and age group | Variable: 15 to 24 years, Educational services, Both sexes, Total employees, Median weekly wage rate | Units: Current $CAD, 1997-2013. 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; Wages and salaries; Economic statistics; Wage; Summary statistics; Socioeconomic status; Official statistics; Immigration","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":[0.002137281,0.002536746,0.003003062,0.007865324,0.002863275,0.004669077,0.005482575,0.001539537,0.08959049],"category_scores_gemma":[0.01682751,0.001868161,0.002125564,0.04025995,0.0005851176,0.002268489,0.002193139,0.003392387,0.05801644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04612933,"about_ca_system_score_gemma":0.1140016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937364,"about_ca_topic_score_gemma":0.9918526,"domain_scores_codex":[0.9958284,0.0002751994,0.0004520621,0.0005282747,0.001908677,0.001007341],"domain_scores_gemma":[0.9672505,0.001203102,0.001100108,0.0008924446,0.02798749,0.001566363],"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":[0.00002763624,0.000007843391,0.0009629576,0.0002298361,0.00002125801,0.000005480485,0.00001713835,0.00009670773,0.000007485344,0.0002454789,0.9968713,0.001506955],"study_design_scores_gemma":[0.0002718836,0.00001736546,0.03264064,0.001082754,0.00008478815,0.00002864031,0.000495601,0.0005567388,0.0001928036,0.0007089567,0.963819,0.0001010267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005339805,0.00004547722,0.00001971651,0.0001037438,0.00002673432,0.00001425145,0.9989913,0.00005225628,0.0006930869],"genre_scores_gemma":[0.0007038583,0.0002317589,0.0002837845,0.0001511914,0.00001816481,0.0001131946,0.9948227,0.0000920797,0.003583266],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08959049,"threshold_uncertainty_score":0.3346933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713595543884426,"score_gpt":0.2616324518806606,"score_spread":0.2344964964418164,"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."}}