{"id":"W6939106063","doi":"10.6068/dp15e008db65a0","title":"Trend 1973 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Manufacturing Labor Productivity and Unit Labor Costs | Country: Taiwan | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: MANUFACTURING OUTPUT PER HOUR INDEX, 1973-2011. 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; Labor cost; Liberian dollar; Compensation of employees; Index (typography); National accounts; National Income and Product Accounts; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001277586,0.001714961,0.001384709,0.003982454,0.0006272469,0.002289389,0.002422571,0.001173461,0.07330684],"category_scores_gemma":[0.01070362,0.0008768477,0.001015867,0.01526366,0.0002286767,0.002091749,0.001421369,0.002427761,0.1119931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002473331,"about_ca_system_score_gemma":0.004644748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1514012,"about_ca_topic_score_gemma":0.1035082,"domain_scores_codex":[0.9985732,0.0001773594,0.0002535851,0.0003431791,0.0004004865,0.0002522166],"domain_scores_gemma":[0.9937708,0.0007170108,0.0006223447,0.0005993975,0.004002832,0.0002876327],"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":[0.00002294121,0.00001116471,0.001144739,0.0001846254,0.00001428459,0.000007748159,0.00001278808,0.0000878223,0.00002053905,0.0002246127,0.9966257,0.00164315],"study_design_scores_gemma":[0.000179785,0.0000239155,0.02063552,0.0005722539,0.00003609401,0.00003401776,0.0002639212,0.000385117,0.0002363847,0.0006980747,0.9768927,0.00004217532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007812843,0.00002213683,0.00003032286,0.00005150483,0.00002873669,0.00000942597,0.9993191,0.00005016516,0.0004105348],"genre_scores_gemma":[0.0003378059,0.00004729886,0.000120979,0.00004122188,0.00001415105,0.00009141664,0.9981861,0.00003583421,0.001125179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9266931,"threshold_uncertainty_score":0.3010398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363733932079172,"score_gpt":0.2913395985223453,"score_spread":0.254966205314428,"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."}}