{"id":"W6920502761","doi":"10.6068/dp15e0091a12439","title":"Trend 1950 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Manufacturing Labor Productivity and Unit Labor Costs | Country: Denmark | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: MANUFACTURING EMPLOYMENT INDEX, 1950-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-031-005.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Productivity; Currency; Liberian dollar; Labor cost; Compensation of employees; National accounts; National Income and Product Accounts; Index (typography); Aggregate data","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":[0.001859777,0.001642207,0.001856287,0.004745569,0.0009946109,0.003302104,0.002653713,0.001280985,0.09402573],"category_scores_gemma":[0.01570274,0.001111282,0.001344757,0.01541721,0.000296759,0.002236981,0.001687869,0.002450519,0.1207555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003985352,"about_ca_system_score_gemma":0.007847141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2537723,"about_ca_topic_score_gemma":0.201603,"domain_scores_codex":[0.9972699,0.0003111721,0.0004778065,0.0006388509,0.000873843,0.0004283789],"domain_scores_gemma":[0.9894979,0.001242182,0.0009562584,0.0009060717,0.006955141,0.0004424782],"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":[0.00002082549,0.000008349391,0.0008403965,0.0001993854,0.00001438255,0.000004212554,0.00001321815,0.00007415737,0.00001349309,0.0003143462,0.9971148,0.001382408],"study_design_scores_gemma":[0.0001139391,0.00001337655,0.01419519,0.0005572472,0.00003112894,0.00002137048,0.0001887458,0.0001894719,0.0001239631,0.0005778489,0.9839503,0.00003741162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004361209,0.00002878503,0.00002989453,0.00004429507,0.00003124171,0.000009505577,0.9992337,0.00004241403,0.0005365393],"genre_scores_gemma":[0.0003113927,0.00007648834,0.0001934134,0.00005202643,0.00001553299,0.0001024757,0.9977037,0.00006203141,0.001482972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2537723,"threshold_uncertainty_score":0.5045904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554513058259721,"score_gpt":0.2955146672286885,"score_spread":0.2599695366460912,"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."}}