{"id":"W6920331856","doi":"10.6068/dp14ba87195be2","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: Total industries, Members, females, Non-contributory 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":[0.001680637,0.002394772,0.002673137,0.008213919,0.002968183,0.004704374,0.004903216,0.001574606,0.08384793],"category_scores_gemma":[0.01680255,0.001597302,0.001918247,0.03750267,0.0005761297,0.002392047,0.002127153,0.002955148,0.06014657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03812423,"about_ca_system_score_gemma":0.09370787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990292,"about_ca_topic_score_gemma":0.9889298,"domain_scores_codex":[0.9966313,0.0002017148,0.0003512765,0.0005236763,0.001501113,0.0007908275],"domain_scores_gemma":[0.9736782,0.001107464,0.0009254706,0.0009463925,0.0220533,0.001289156],"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":[0.00001919865,0.000005029615,0.0007128993,0.0001720691,0.00001680289,0.000005103405,0.00001427009,0.00008416176,0.00000744687,0.0002658973,0.9976736,0.00102355],"study_design_scores_gemma":[0.0001592075,0.000009251551,0.01672246,0.0006860354,0.00005868344,0.00002206989,0.0003201544,0.0004109182,0.0001646162,0.0005943668,0.9807798,0.00007243799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003378397,0.00003330511,0.00001244026,0.00007483993,0.00001594264,0.000006865874,0.9992597,0.00004409719,0.0005190838],"genre_scores_gemma":[0.0004283243,0.0001413576,0.0001856832,0.00008532521,0.00001112806,0.00006056479,0.9968836,0.00006538307,0.002138773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08384793,"threshold_uncertainty_score":0.2804993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041529732187134,"score_gpt":0.2511781347988181,"score_spread":0.2107628374769467,"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."}}