{"id":"W6958129878","doi":"10.6068/dp15e0095719b68","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: EXCHANGE RATE INDEX, 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; International comparisons; Unit (ring theory); Compensation of employees; Product (mathematics); National accounts; Purchasing power parity; Economic 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":[0.002289161,0.001769175,0.001933007,0.005472728,0.001630848,0.003552845,0.003517866,0.00121811,0.1008671],"category_scores_gemma":[0.02033003,0.00121305,0.001219621,0.02357307,0.0004156536,0.002701298,0.001926037,0.003076708,0.1055515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01093854,"about_ca_system_score_gemma":0.02872115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7769726,"about_ca_topic_score_gemma":0.7279065,"domain_scores_codex":[0.9966902,0.0003262705,0.0004364187,0.0005446238,0.00138591,0.0006166776],"domain_scores_gemma":[0.9749971,0.001486213,0.001089131,0.001197319,0.02029495,0.000935264],"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":[0.00001424567,0.000006246265,0.0005915709,0.0001188761,0.000008129606,0.000003110735,0.00001206825,0.0000501453,0.000007158053,0.0002250874,0.9976085,0.00135498],"study_design_scores_gemma":[0.00009964055,0.00001179775,0.01705977,0.0005874457,0.00002941086,0.00001721535,0.0002329589,0.000181518,0.0001176107,0.0004845619,0.9811357,0.0000423413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004236446,0.00002351636,0.00002993597,0.00006741961,0.00003309084,0.00001932231,0.9989837,0.00005072103,0.00074997],"genre_scores_gemma":[0.0002726631,0.00009642535,0.0002195352,0.000067556,0.00001794047,0.0001529564,0.9969984,0.00006950637,0.002105062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2230274,"threshold_uncertainty_score":0.4486817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377532250200251,"score_gpt":0.2858735981725266,"score_spread":0.2520982756705241,"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."}}