{"id":"W6901695047","doi":"10.6068/dp14ba8bd348062","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: Beverage and tobacco product manufacturing, Members, both sexes, Private sector 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; Economic statistics; Wages and salaries; Official statistics; Summary statistics; Social security","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":[0.001664848,0.002372439,0.002762514,0.008129783,0.003034145,0.004540718,0.004907776,0.001547252,0.0819402],"category_scores_gemma":[0.01603955,0.001612755,0.001967822,0.03738419,0.0005606084,0.002259413,0.002097463,0.002872979,0.05214385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04289324,"about_ca_system_score_gemma":0.1016533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926023,"about_ca_topic_score_gemma":0.9911355,"domain_scores_codex":[0.9965976,0.0001970982,0.0003709789,0.0005036383,0.001522469,0.0008082337],"domain_scores_gemma":[0.9739589,0.001036372,0.0009333081,0.0008379323,0.02192092,0.001312558],"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":[0.00002230118,0.000005768959,0.0008271664,0.0001998843,0.00001895714,0.000005787662,0.00001672583,0.00009143119,0.000007972492,0.0003025405,0.9973505,0.001150957],"study_design_scores_gemma":[0.0001844143,0.00001135367,0.02084982,0.0007687359,0.0000722535,0.00002647432,0.0003802287,0.0004549305,0.0001849227,0.0006068531,0.9763824,0.00007753081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004034513,0.00003817225,0.00001262275,0.00007954217,0.00001638841,0.000007813908,0.9992146,0.00004046542,0.0005499226],"genre_scores_gemma":[0.0005560643,0.0001740235,0.0002000152,0.00009838904,0.00001205929,0.00006724321,0.9963375,0.00006421399,0.002490542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0819402,"threshold_uncertainty_score":0.3112137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185081163788552,"score_gpt":0.2423155064042094,"score_spread":0.2104646947663239,"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."}}