{"id":"W6901565689","doi":"10.6068/dp14ba8454f3634","title":"Trend 1999 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by North American Industry Classification System (NAICS), sector, type of plan and contributory status | Variable: Utilities, Members, both sexes, Total of registered pension plans | Units: # %, 1999-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-142.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Pension; Census; Descriptive statistics; Wages and salaries; Economic statistics; Summary statistics; Official statistics; Social security; Value (mathematics)","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":[0.001775277,0.002491277,0.002779372,0.008510623,0.003048778,0.00491804,0.005008376,0.001585319,0.08854032],"category_scores_gemma":[0.01767232,0.001678673,0.002006019,0.03918757,0.0005817109,0.002492259,0.002201358,0.00295561,0.06198568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04190266,"about_ca_system_score_gemma":0.100519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911465,"about_ca_topic_score_gemma":0.9895223,"domain_scores_codex":[0.9962839,0.000220334,0.0004002274,0.0005569536,0.001694461,0.0008441359],"domain_scores_gemma":[0.9714898,0.001168191,0.0009809228,0.0009681984,0.02406983,0.001322997],"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":[0.00001959162,0.000004949575,0.0007002219,0.000183934,0.0000176965,0.000005135306,0.00001433137,0.00008574218,0.000007322152,0.0002817417,0.9976137,0.001065626],"study_design_scores_gemma":[0.0001613029,0.000009393341,0.01667463,0.0007157822,0.00006155092,0.00002266778,0.0003122235,0.0003883016,0.000161076,0.0005924199,0.9808281,0.00007253895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003220063,0.00003540741,0.00001251302,0.00007811268,0.00001617661,0.000007287213,0.9992205,0.00004343344,0.0005543844],"genre_scores_gemma":[0.0004493088,0.0001636824,0.0001953058,0.00009460785,0.00001196912,0.00006450194,0.9965792,0.00007177816,0.002369635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08854032,"threshold_uncertainty_score":0.3040265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730740890031917,"score_gpt":0.2496292812860969,"score_spread":0.2123218723857777,"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."}}