{"id":"W6976615037","doi":"10.6068/dp14ba88886c556","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Government - Employment and Remuneration | Country: Canada | Table: Federal public sector employment reconciliation of Treasury Board of Canada Secretariat, Public Service Commission of Canada and Statistics Canada statistical universes, as at December 31 | Variable: Student employees as per Public Service Commission's statistical universe | Units: # Persons, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-104.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treasury; Public sector; Government (linguistics); Commission; Official statistics; Census; Remuneration; Statistics education","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":[0.002413181,0.002586114,0.002892004,0.009107343,0.003468117,0.005656498,0.005022065,0.001678836,0.09990489],"category_scores_gemma":[0.02133652,0.002051968,0.00218763,0.0433729,0.0006766666,0.002966646,0.00261699,0.003531512,0.0655982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0528239,"about_ca_system_score_gemma":0.1429658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930612,"about_ca_topic_score_gemma":0.990908,"domain_scores_codex":[0.9946797,0.0003357133,0.0005872173,0.0006394105,0.002580544,0.001177391],"domain_scores_gemma":[0.9588738,0.001361314,0.001175885,0.001218811,0.03550724,0.001862951],"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":[0.00002023365,0.000005966373,0.0007181823,0.0002027786,0.00001698573,0.000005683237,0.00001634541,0.0000851412,0.000007146442,0.0003321408,0.9970747,0.00151473],"study_design_scores_gemma":[0.0001403684,0.00001078706,0.02012902,0.0007965221,0.00006060363,0.00002316523,0.0003895477,0.0003801892,0.0001714646,0.0006318899,0.9771791,0.0000874913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004395691,0.00005498052,0.00002654302,0.0001534276,0.00003846713,0.00001570002,0.9985309,0.00006865151,0.00106743],"genre_scores_gemma":[0.0007672143,0.0003485996,0.0004409055,0.0002078634,0.00002481945,0.0001389173,0.9927214,0.0001537296,0.005196576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09990489,"threshold_uncertainty_score":0.383266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841560871397265,"score_gpt":0.2389424757263997,"score_spread":0.2105268670124271,"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."}}