{"id":"W3125231834","doi":"","title":"DYNAMICS OF PRODUCTION AND FOREIGN TRADE OF RUSSIA","year":2016,"lang":"en","type":"article","venue":"Russian Economic Developments","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Quarter (Canadian coin); Economics; Value (mathematics); Balance of trade; Production (economics); International economics; Finished good; Economic shortage; International trade; Agricultural economics; Monetary economics; Geography; Macroeconomics; Mathematics","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":[0.0001863936,0.0001161741,0.0001524103,0.001273153,0.0002952162,0.001425602,0.0001413547,0.0001697315,0.002113991],"category_scores_gemma":[0.0006397052,0.00009527472,0.0001910369,0.001327395,0.0003618165,0.0005297935,0.0005772719,0.0003696286,0.0005801371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008498204,"about_ca_system_score_gemma":0.0004594193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006565064,"about_ca_topic_score_gemma":0.003400854,"domain_scores_codex":[0.9998657,0.0000243567,0.00001051302,0.00003219488,0.00003309177,0.00003416325],"domain_scores_gemma":[0.9996983,0.00004496205,0.0001459866,0.00001315821,0.00005106367,0.00004664216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003782981,0.00006053044,0.8559093,0.0002137327,0.000178757,0.001686496,0.005385956,0.006322796,0.006789977,0.06380665,0.006501709,0.05276569],"study_design_scores_gemma":[0.000006376317,0.0000477732,0.9524387,0.0000737079,0.00002515711,0.0006088783,0.001952568,0.003033151,0.0006390697,0.002883543,0.03827112,0.00001996412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696265,0.002377607,0.0003912113,0.0007773702,0.00002828104,0.000004312144,0.001283334,0.00003075094,0.02548071],"genre_scores_gemma":[0.9961818,0.0009396111,0.00008491929,0.0000180129,0.0000197223,0.000002355989,0.0004009814,0.000006050937,0.002346461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006565064,"threshold_uncertainty_score":0.01305372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491501865353185,"score_gpt":0.2480197156359829,"score_spread":0.233104696982451,"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."}}