{"id":"W6957985427","doi":"10.6068/dp15e0091cee745","title":"Trend 1985 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Manufacturing Labor Productivity and Unit Labor Costs | Country: South Korea | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: AVERAGE ANNUAL COMPENSATION, NATIONAL CURRENCY BASIS, PRODUCTIVITY SERIES, 1985-2011. 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; National Income and Product Accounts; National accounts; Index (typography); Compensation of employees; Measures of national income and output","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":[0.001581718,0.001734409,0.001544056,0.00448854,0.0007515959,0.002589172,0.002468238,0.001174343,0.07473994],"category_scores_gemma":[0.01362665,0.0009943211,0.001122876,0.01671657,0.0002733699,0.002470295,0.001572682,0.002622532,0.1077038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002564647,"about_ca_system_score_gemma":0.004574227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1164875,"about_ca_topic_score_gemma":0.08805174,"domain_scores_codex":[0.9979545,0.0002787928,0.0004061926,0.000485407,0.0005552924,0.0003198684],"domain_scores_gemma":[0.9913326,0.001035196,0.0009229705,0.0007862982,0.005571937,0.0003510726],"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":[0.00002274393,0.00001007431,0.001134848,0.0002118073,0.00001533326,0.000005705304,0.00001183457,0.00008079542,0.00001710244,0.000271146,0.9966407,0.001577896],"study_design_scores_gemma":[0.0001529429,0.00001986909,0.01874047,0.0006168939,0.00003840563,0.00003110316,0.0002540873,0.0002863004,0.00017329,0.0008011599,0.9788441,0.00004134221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006565933,0.00002576856,0.00002948424,0.00005408834,0.00002933628,0.000009097252,0.9993414,0.00004289023,0.0004022541],"genre_scores_gemma":[0.0003511466,0.00006339626,0.0001541222,0.00005053706,0.00001475082,0.00009774793,0.9982407,0.0000398347,0.0009877471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1164875,"threshold_uncertainty_score":0.25003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545146890722766,"score_gpt":0.2897196755046176,"score_spread":0.25426820659739,"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."}}