{"id":"W6901426459","doi":"10.6068/dp14ba89d85cf20","title":"Trend 2007 - 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: All trade industries, Market value of assets, Defined contribution registered pension plans | Units: # %, 2007-2012. 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; Census; Pension; Descriptive statistics; Economic statistics; Wages and salaries; Summary statistics; Official statistics; 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":[0.001652871,0.002402005,0.002675914,0.008220059,0.00294152,0.004744171,0.004906914,0.001582783,0.08368366],"category_scores_gemma":[0.01678283,0.001606211,0.001897835,0.03758829,0.0005987338,0.002329865,0.002153015,0.002989793,0.06119764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03895755,"about_ca_system_score_gemma":0.09493329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898038,"about_ca_topic_score_gemma":0.9889545,"domain_scores_codex":[0.9966388,0.0002058011,0.0003509697,0.0005303377,0.001479359,0.0007947552],"domain_scores_gemma":[0.9736167,0.001184974,0.0009342071,0.0009672018,0.02197756,0.001319451],"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":[0.00001736944,0.000004597805,0.000669457,0.0001603711,0.00001573038,0.000004687801,0.00001359493,0.00007682268,0.00000710736,0.0002533603,0.9978517,0.0009252279],"study_design_scores_gemma":[0.0001520914,0.00000834526,0.01542784,0.0006850223,0.0000563293,0.00002131655,0.0003225726,0.0004015804,0.0001620261,0.0006064709,0.9820849,0.00007149112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000321255,0.00003176161,0.00001209888,0.00007295322,0.00001504727,0.000006407397,0.9992945,0.00004388062,0.0004911982],"genre_scores_gemma":[0.0003995109,0.0001290618,0.0001857393,0.00008317676,0.00001030646,0.00005927981,0.9971614,0.00006279763,0.001908739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08368366,"threshold_uncertainty_score":0.2826582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911705124650165,"score_gpt":0.2536296575090822,"score_spread":0.2145126062625805,"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."}}