{"id":"W6920445842","doi":"10.6068/dp14ba8cbc2490","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | 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 years and over, Health care and social assistance, Both sexes, Full-time, Average weekly wage rate | Units: Current $CAD, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economic statistics; Census; Official statistics; Wage; Summary statistics; Socioeconomic status; Wages and salaries; General Social Survey","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":[0.002331901,0.002306592,0.002965282,0.007486549,0.003154112,0.004763385,0.005442477,0.00151734,0.08786279],"category_scores_gemma":[0.01840206,0.001906923,0.002277992,0.03639088,0.0005960154,0.002238239,0.002415519,0.003200287,0.05129623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05231304,"about_ca_system_score_gemma":0.1402089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957365,"about_ca_topic_score_gemma":0.9941443,"domain_scores_codex":[0.9956155,0.0003177236,0.0005076652,0.0005427419,0.001920268,0.001096156],"domain_scores_gemma":[0.965684,0.001329151,0.001113537,0.0009089647,0.02904853,0.001915826],"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":[0.00003139748,0.000008210245,0.001139083,0.0002653546,0.0000235454,0.000006554174,0.0000234748,0.0001009426,0.000008104323,0.00027707,0.9964445,0.001671719],"study_design_scores_gemma":[0.0002796515,0.00002083122,0.0375425,0.001312706,0.00009965379,0.00003472255,0.0006757191,0.0006147405,0.0002062295,0.0006826099,0.9584135,0.000117213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006737249,0.0000521278,0.00002405138,0.0001284889,0.00002946836,0.00001814086,0.9988015,0.0000620694,0.0008168009],"genre_scores_gemma":[0.0009680495,0.0002993386,0.0003969141,0.0002145013,0.00002145973,0.0001590259,0.9931118,0.0001180556,0.004710723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08786279,"threshold_uncertainty_score":0.3795595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761997556394514,"score_gpt":0.2715037288317751,"score_spread":0.24388375326783,"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."}}