{"id":"W6901659804","doi":"10.6068/dp15e009abcac55","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: OUTPUT PER EMPLOYED PERSON, 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; Productivity; Compensation of employees; Unit (ring theory); International comparisons; Product (mathematics); Economic statistics; Purchasing power; National accounts","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":[0.002354672,0.001754948,0.00195558,0.005810887,0.001611538,0.003566142,0.003506211,0.001201189,0.09376354],"category_scores_gemma":[0.02056556,0.001250684,0.001255449,0.02486105,0.0004334139,0.002692338,0.001884807,0.003167933,0.09556872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01229347,"about_ca_system_score_gemma":0.03252442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8165036,"about_ca_topic_score_gemma":0.7553237,"domain_scores_codex":[0.9964206,0.0003267716,0.0004529054,0.0005557531,0.001572723,0.0006712763],"domain_scores_gemma":[0.9737443,0.001397404,0.001111393,0.001142783,0.02169367,0.0009104369],"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":[0.00001571813,0.00000653692,0.0006168218,0.0001324046,0.000009203004,0.000003272473,0.0000124293,0.00005844697,0.000007721062,0.0002681117,0.9974,0.001469188],"study_design_scores_gemma":[0.00009730645,0.00001205439,0.01852143,0.0005824151,0.00003148043,0.00001691828,0.0002279285,0.0001882943,0.0001270733,0.000485289,0.9796683,0.00004148924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004777468,0.0000290462,0.00003419014,0.00007886447,0.00003937108,0.00002174126,0.9988115,0.00005689541,0.000880653],"genre_scores_gemma":[0.0003242643,0.0001158342,0.0002422744,0.00007453848,0.00002052175,0.0001481373,0.9964987,0.00007591712,0.002499814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1834964,"threshold_uncertainty_score":0.369154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721301787227632,"score_gpt":0.2857164000446723,"score_spread":0.248503382172396,"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."}}