{"id":"W6958044054","doi":"10.6068/dp15e008ee6fa42","title":"Trend 1950 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Manufacturing Labor Productivity and Unit Labor Costs | Country: Norway | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: AVERAGE ANNUAL COMPENSATION, NATIONAL CURRENCY 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; National Income and Product Accounts; National accounts; Compensation of employees; Index (typography); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002119322,0.001957973,0.00183543,0.004625024,0.0008487085,0.002851973,0.002923807,0.001359095,0.09008334],"category_scores_gemma":[0.01629776,0.001138926,0.001358484,0.0157773,0.0003546381,0.002835114,0.001998529,0.002597225,0.1140087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003009832,"about_ca_system_score_gemma":0.006035656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1499828,"about_ca_topic_score_gemma":0.1163595,"domain_scores_codex":[0.9971561,0.000408929,0.0005075264,0.0006737032,0.0008319232,0.0004216327],"domain_scores_gemma":[0.9899617,0.001548717,0.001070382,0.0008804485,0.006101028,0.000437696],"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":[0.00002319063,0.000009943727,0.001031831,0.0002218509,0.00001387332,0.000005966586,0.00001529927,0.00008886327,0.00001529173,0.0003048368,0.9967699,0.001499116],"study_design_scores_gemma":[0.0001587601,0.00001938404,0.01422336,0.0007607499,0.00003218073,0.00003032317,0.0002681064,0.0002391201,0.0001340902,0.0008052115,0.9832864,0.00004240527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005193963,0.0000300179,0.00003369157,0.00004913974,0.00003985013,0.000009807526,0.9992666,0.00004756781,0.0004714179],"genre_scores_gemma":[0.0003028736,0.00007422045,0.000211794,0.00005181956,0.00001931579,0.0001182429,0.9980333,0.00006238835,0.001125928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9099166,"threshold_uncertainty_score":0.3013588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336453200584514,"score_gpt":0.2924930174992444,"score_spread":0.2591284854933992,"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."}}