{"id":"W6976335095","doi":"10.6068/dp15e008f656c60","title":"Trend 1960 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Manufacturing Labor Productivity and Unit Labor Costs | Country: Sweden | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: REAL HOURLY COMPENSATION, CPI BASIS, PRODUCTIVITY SERIES, 1960-2011. 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":"Productivity; Unit (ring theory); Currency; Liberian dollar; Labor cost; National Income and Product Accounts; National accounts; Compensation of employees; Index (typography); Real wages","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":[0.001689331,0.001864725,0.001633057,0.004947979,0.0007565183,0.003029548,0.002475517,0.001320495,0.08076667],"category_scores_gemma":[0.01358598,0.0009812892,0.001233196,0.01542016,0.0003039913,0.002452828,0.001806555,0.00264425,0.1310948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434074,"about_ca_system_score_gemma":0.004594127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08954984,"about_ca_topic_score_gemma":0.06586821,"domain_scores_codex":[0.9979589,0.0002887527,0.0003802385,0.0004855888,0.0005908389,0.000295763],"domain_scores_gemma":[0.9923137,0.001135577,0.0007655674,0.0006363153,0.004814191,0.0003346627],"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":[0.00002471746,0.00001072421,0.000981211,0.0002255734,0.00001637649,0.000006536277,0.00001488914,0.0000878163,0.00001728459,0.0003147577,0.9965842,0.001715994],"study_design_scores_gemma":[0.0001520121,0.00001676757,0.01105073,0.0006234615,0.00003321024,0.00002801633,0.0002454691,0.0001955599,0.0001504446,0.000784085,0.9866859,0.00003436176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006955129,0.0000314658,0.00003106142,0.000062227,0.00003636671,0.000008054311,0.9992359,0.00005542612,0.0004700721],"genre_scores_gemma":[0.0003211523,0.00007757165,0.0001799962,0.00005008731,0.00001934487,0.00008965738,0.9979948,0.00005701225,0.001210432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08954984,"threshold_uncertainty_score":0.2701914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03946617186242481,"score_gpt":0.2943661347235076,"score_spread":0.2548999628610829,"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."}}