{"id":"W6901602032","doi":"10.6068/dp14ba8cd4f6a66","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, Transportation and warehousing, Females, Full-time, Average 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053319,0.002550836,0.002967319,0.007962503,0.002965927,0.004724309,0.005340307,0.001507736,0.08644906],"category_scores_gemma":[0.01632402,0.001823099,0.002204378,0.04103116,0.0005807299,0.002317085,0.002262011,0.003285808,0.05743095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04632954,"about_ca_system_score_gemma":0.1155665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938982,"about_ca_topic_score_gemma":0.9918361,"domain_scores_codex":[0.9956324,0.0002764616,0.00047473,0.0005292846,0.002053965,0.001033168],"domain_scores_gemma":[0.9650189,0.001125039,0.001088475,0.0008749331,0.03036155,0.001531043],"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":[0.00003029511,0.000008669585,0.00109854,0.0002442668,0.00002379937,0.000006101979,0.00001851174,0.0001053852,0.000008331759,0.0002592179,0.9965467,0.001650223],"study_design_scores_gemma":[0.0002485346,0.00001904076,0.03506135,0.001083178,0.00008956544,0.00002960746,0.0005459822,0.0005896135,0.0002108055,0.0006925339,0.9613261,0.0001037738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006197901,0.00004796085,0.00002172044,0.0001089843,0.00002834506,0.00001521209,0.9988564,0.00005658255,0.0008027934],"genre_scores_gemma":[0.000734486,0.0002401582,0.0002837516,0.000153556,0.00001811262,0.0001065707,0.9945794,0.00009017896,0.003793797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08644906,"threshold_uncertainty_score":0.3361459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015669636189252,"score_gpt":0.2550119871537101,"score_spread":0.2248552907918176,"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."}}