{"id":"W6957510228","doi":"10.6068/dp15e0091ba2042","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 EMPLOYMENT 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; Liberian dollar; Labor cost; National accounts; Compensation of employees; 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":[0.001331051,0.001696228,0.001394244,0.004066898,0.0006333581,0.002305168,0.002478058,0.001161719,0.07269797],"category_scores_gemma":[0.01082933,0.0008744523,0.0009978856,0.01566422,0.0002282695,0.002108402,0.001431489,0.002457004,0.1089838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536868,"about_ca_system_score_gemma":0.004939466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1531854,"about_ca_topic_score_gemma":0.1010992,"domain_scores_codex":[0.9985291,0.000183288,0.0002607474,0.0003391225,0.0004255653,0.0002621867],"domain_scores_gemma":[0.9935228,0.0007269765,0.0006412511,0.000621644,0.004193465,0.0002938407],"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":[0.00002333216,0.00001158265,0.001085683,0.0001868244,0.00001391385,0.000008112209,0.00001291617,0.00009087198,0.00002174691,0.0002463567,0.9966003,0.001698324],"study_design_scores_gemma":[0.0001784199,0.00002416514,0.02018865,0.0005816667,0.00003605784,0.00003459246,0.0002591284,0.0003936579,0.0002513296,0.0007117416,0.9772978,0.00004283359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008099282,0.00002333399,0.00003384671,0.00005367367,0.00003081431,0.00001052584,0.9992414,0.00005418375,0.0004713046],"genre_scores_gemma":[0.0003562568,0.00005150236,0.0001324676,0.00004275143,0.0000148434,0.00009777849,0.998052,0.00003965673,0.001212815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1531854,"threshold_uncertainty_score":0.3045875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03659211695855059,"score_gpt":0.296923408229829,"score_spread":0.2603312912712785,"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."}}