{"id":"W6976328994","doi":"10.6068/dp15e00975f7136","title":"Trend 1950 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Real Gross Domestic Product per Capita and per Employed Person | Country: Canada | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: MANUFACTURING UNIT LABOR COST INDEX, US DOLLAR BASIS, 1950-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-031-006.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Per capita; Unit (ring theory); Productivity; Compensation of employees; Product (mathematics); Liberian dollar; Economic statistics; International comparisons; Purchasing power","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":[0.001892192,0.001694469,0.001793117,0.005174933,0.001409574,0.003261914,0.003140614,0.001233638,0.09187706],"category_scores_gemma":[0.01695713,0.001093515,0.001210826,0.02093951,0.0003749681,0.002582378,0.001786946,0.002944596,0.1046699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00821301,"about_ca_system_score_gemma":0.01993616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6921986,"about_ca_topic_score_gemma":0.6394883,"domain_scores_codex":[0.9972945,0.000280288,0.0003514459,0.0005186245,0.001037479,0.000517597],"domain_scores_gemma":[0.9814546,0.00114832,0.0008806502,0.001010686,0.0147886,0.0007171775],"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":[0.00001342458,0.000006084877,0.0006249131,0.0001118015,0.000008155117,0.000003151024,0.00001002726,0.00004940735,0.000007492261,0.0002055448,0.9977469,0.001213158],"study_design_scores_gemma":[0.0001007287,0.00001114115,0.01561879,0.0005426958,0.00002908517,0.00001845127,0.0002126822,0.000192502,0.0001221931,0.0004788296,0.9826334,0.00003952615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004280108,0.00002387372,0.00002725343,0.00006232599,0.00003115377,0.00001385852,0.9991223,0.00004638367,0.0006299966],"genre_scores_gemma":[0.0002659415,0.0000813846,0.0001836764,0.00005992826,0.00001675799,0.0001138178,0.9975332,0.00005571169,0.001689532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3078014,"threshold_uncertainty_score":0.6192281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205243064159881,"score_gpt":0.2850432665796351,"score_spread":0.2529908359380363,"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."}}