{"id":"W6939201469","doi":"10.6068/dp15e008e60ac24","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: REAL HOURLY COMPENSATION, CPI BASIS, PRODUCTIVITY SERIES, 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 Income and Product Accounts; National accounts; Index (typography); Official statistics","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":[0.001750515,0.001666271,0.001652563,0.004276306,0.0007842683,0.003060038,0.002453266,0.001384447,0.0834353],"category_scores_gemma":[0.0148702,0.001116767,0.001280153,0.01419245,0.000292179,0.002322842,0.001659085,0.002560811,0.1144073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002628654,"about_ca_system_score_gemma":0.004900106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1063609,"about_ca_topic_score_gemma":0.07997704,"domain_scores_codex":[0.9976802,0.0003085307,0.0004510617,0.0005686531,0.0006467868,0.0003447714],"domain_scores_gemma":[0.9917365,0.00129678,0.0009001115,0.0008184173,0.004893077,0.0003551418],"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":[0.00002313716,0.00001034488,0.0009646934,0.0002367138,0.00001710032,0.000005112597,0.00001330555,0.00009612473,0.00001733944,0.0003425627,0.996849,0.001424507],"study_design_scores_gemma":[0.0001342143,0.00001587082,0.01204333,0.0006218496,0.00003359384,0.00002552109,0.0002009038,0.0002269769,0.0001558117,0.0007910218,0.9857147,0.00003609001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000053111,0.00002989876,0.00003436482,0.00004961359,0.00003498117,0.000008859416,0.9992772,0.00004450813,0.0004676414],"genre_scores_gemma":[0.0003340969,0.00007111039,0.0002140058,0.00005298349,0.00001548354,0.00009818299,0.9980053,0.00005658839,0.001152219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1063609,"threshold_uncertainty_score":0.2791189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521454535280192,"score_gpt":0.2888959728189019,"score_spread":0.2536814274661,"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."}}