{"id":"W6939193011","doi":"10.6068/dp14ba82da91f83","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: Construction, Plans, 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; Official statistics; Summary 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":[0.001782391,0.00249147,0.002730336,0.008466953,0.003079286,0.005058006,0.005090631,0.001640386,0.09212446],"category_scores_gemma":[0.01757677,0.001715955,0.001972491,0.03959166,0.0006074752,0.002591223,0.002201073,0.003047166,0.06663925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04086455,"about_ca_system_score_gemma":0.09902929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905192,"about_ca_topic_score_gemma":0.9887273,"domain_scores_codex":[0.9962895,0.0002208834,0.0003975762,0.0005704975,0.001686358,0.0008351683],"domain_scores_gemma":[0.9710823,0.001207889,0.0009766964,0.001024345,0.02436419,0.001344578],"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":[0.00001890066,0.000004951312,0.000633184,0.0001721118,0.00001626262,0.000004873024,0.00001388285,0.00007889535,0.000007223799,0.0002559661,0.9978076,0.0009861919],"study_design_scores_gemma":[0.000156412,0.000009005233,0.01485384,0.0006673464,0.0000558811,0.00002114922,0.0003007956,0.0003608112,0.0001606956,0.0005799911,0.9827655,0.00006857426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000303638,0.00003168137,0.00001208924,0.00007475327,0.00001611764,0.000006960993,0.9992588,0.00004441488,0.0005247648],"genre_scores_gemma":[0.0003852757,0.0001370764,0.0001770502,0.00008633495,0.00001135868,0.00006117699,0.9968284,0.00007281143,0.00224052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09212446,"threshold_uncertainty_score":0.308187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115381582448518,"score_gpt":0.2455295010566863,"score_spread":0.2143756852322011,"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."}}