{"id":"W6976624623","doi":"10.6068/dp14ba8a9fc6a2","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: 55 years and over, Other services, Females, Part-time, Median hourly 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; Economic statistics; Wages and salaries; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001437061,0.001148292,0.001979909,0.0002064113,0.0001522773,0.0003863608,0.001488397,0.0006223513,0.0004156274],"category_scores_gemma":[0.0001658889,0.001110376,3.841867e-7,0.001062166,0.001079398,0.0003853549,0.0006609269,0.001230234,0.00001546711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175579,"about_ca_system_score_gemma":0.004196794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995666,"about_ca_topic_score_gemma":0.9993671,"domain_scores_codex":[0.9935815,0.001314836,0.001331358,0.001536724,0.001263408,0.0009722285],"domain_scores_gemma":[0.9928753,0.001372705,0.002485384,0.002257352,0.000180206,0.0008290085],"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":[0.0002392248,0.00009219484,0.02557353,0.002667792,0.0006338629,0.00009971468,0.00001910214,0.000008102438,0.00001027087,0.0001022982,0.9704192,0.0001346489],"study_design_scores_gemma":[0.000934028,0.0001311041,0.003907287,0.0003877038,0.0006280127,0.00003027411,0.0004903137,0.0007217289,8.867629e-8,8.504966e-8,0.9916801,0.001089314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000529911,0.0101268,0.000001664869,0.000001793961,0.000296651,0.000826583,0.9880316,0.0001125042,0.0000725325],"genre_scores_gemma":[0.0006111435,0.002399749,0.0001828006,0.00007896307,0.0001143164,0.00002412141,0.9950036,0.0006230362,0.000962271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02166625,"threshold_uncertainty_score":0.9991347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222833409889297,"score_gpt":0.2588424820041426,"score_spread":0.2266141479052496,"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."}}