{"id":"W6901411109","doi":"10.6068/dp14ba8caca5497","title":"Trend 1980 - 2000. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by funding instrument, sector, type of plan and contributory status | Variable: Government consolidated revenue arrangement, Members, both sexes, Defined contribution registered pension plans | Units: # %, 1980-2000. 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; Revenue; Wages and salaries; Summary statistics; Official statistics; Economic statistics; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001960502,0.0024347,0.0026639,0.009151656,0.003128439,0.004845005,0.00494162,0.001544217,0.08869494],"category_scores_gemma":[0.01760597,0.001883558,0.001764154,0.04208617,0.0006426568,0.002573745,0.002169141,0.003109177,0.05959317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05124566,"about_ca_system_score_gemma":0.1222851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99332,"about_ca_topic_score_gemma":0.9912019,"domain_scores_codex":[0.9958724,0.0002205599,0.0004450405,0.000570449,0.001941956,0.0009494531],"domain_scores_gemma":[0.9673506,0.001208872,0.00114391,0.0009736278,0.02780102,0.001521894],"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":[0.00002072874,0.000005942055,0.0007640174,0.0001991344,0.00001645188,0.000005419402,0.00001790631,0.00008775012,0.000008292148,0.0003053357,0.9973575,0.001211461],"study_design_scores_gemma":[0.0001558895,0.00001047926,0.01967658,0.0006920543,0.00005704982,0.00002155677,0.0003558382,0.0003414752,0.0001736739,0.0005473548,0.9778976,0.00007056514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003989114,0.00003553392,0.00001330584,0.00008073608,0.00001740564,0.00000924685,0.9990878,0.00004680843,0.0006691887],"genre_scores_gemma":[0.0005534519,0.000182028,0.0002176937,0.0001054692,0.00001303635,0.00008286656,0.9954208,0.00008367091,0.003340951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9113051,"threshold_uncertainty_score":0.371815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322782112665933,"score_gpt":0.2468113979180533,"score_spread":0.213583576791394,"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."}}