{"id":"W6957932651","doi":"10.6068/dp14ba8c183e516","title":"Trend 1974 - 2012. 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: Insurance company contract not fully guaranteed, Members, females, Private sector registered pension plans | 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; Wages and salaries; Value (mathematics); Economic statistics; Official statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002229472,0.002047435,0.003725314,0.0004018912,0.0003312157,0.0003890945,0.002463974,0.001129146,0.002293077],"category_scores_gemma":[0.0005549773,0.002053922,0.000001233995,0.0008014505,0.0008956215,0.0009308739,0.001150566,0.001653756,0.00001222718],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00089321,"about_ca_system_score_gemma":0.01276162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985101,"about_ca_topic_score_gemma":0.9985207,"domain_scores_codex":[0.9878211,0.001662877,0.002859697,0.002662139,0.002843408,0.002150779],"domain_scores_gemma":[0.9858727,0.002649921,0.004738178,0.004800576,0.0004430916,0.001495509],"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":[0.004844895,0.0002144426,0.001752247,0.003255505,0.001457987,0.0008383889,0.00001800831,0.00004690598,0.0004323325,0.0005536473,0.9865476,0.00003806571],"study_design_scores_gemma":[0.006974878,0.0003967569,0.0006410365,0.0009047654,0.001343755,0.0006502625,0.0002075799,0.003113384,0.000001468695,1.743261e-7,0.9837278,0.002038105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003331614,0.009614597,0.000003612189,0.000005096369,0.001368804,0.002065963,0.9850698,0.0001466002,0.001392338],"genre_scores_gemma":[0.002089181,0.003703506,0.0002413342,0.0002420546,0.0001727362,0.00002333765,0.9912387,0.0007405916,0.001548586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01186841,"threshold_uncertainty_score":0.9992267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05150307369834116,"score_gpt":0.2606027725501679,"score_spread":0.2090996988518268,"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."}}