{"id":"W6920320846","doi":"10.6068/dp14ba8a9005096","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by size of plan, sector, type of plan and contributory status | Variable: Members, males, Non-contributory registered pension plans, Size of plan, 5,000 to 9,999 members | Units: # %, 1974-2012. 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; Descriptive statistics; Census; Summary statistics; Social security; Economic statistics; Wages and salaries; Socioeconomic status","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":[0.001602212,0.002289627,0.002615039,0.008381983,0.002649936,0.004517191,0.004505233,0.001532327,0.08492366],"category_scores_gemma":[0.01751593,0.001683689,0.001829771,0.03874449,0.0006139568,0.00225005,0.002060267,0.002979728,0.05680554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04112776,"about_ca_system_score_gemma":0.09548944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911841,"about_ca_topic_score_gemma":0.989526,"domain_scores_codex":[0.9965412,0.0002016569,0.0003911254,0.0005200686,0.001562918,0.0007830646],"domain_scores_gemma":[0.9723927,0.001264309,0.001083622,0.0009898446,0.02286325,0.00140626],"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":[0.00001924152,0.000005555253,0.000744979,0.0001745151,0.00001740819,0.000004868105,0.00001379812,0.00009595399,0.000007241402,0.0002640466,0.9976221,0.001030339],"study_design_scores_gemma":[0.0001706521,0.00001015759,0.01865155,0.0006986433,0.00005728642,0.00002166701,0.0003212988,0.0004277957,0.0001645453,0.0006026928,0.9788023,0.00007125169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000356435,0.0000336307,0.00001265718,0.00007103993,0.00001544961,0.000006860783,0.9992751,0.00004413617,0.0005055065],"genre_scores_gemma":[0.0004882951,0.0001468899,0.0001771197,0.00008097175,0.00001089175,0.00006091375,0.9966366,0.00006333183,0.002334863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08492366,"threshold_uncertainty_score":0.2984042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753379539664529,"score_gpt":0.2485550775489041,"score_spread":0.2210212821522588,"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."}}