{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004804269,0.0001278756,0.0002850986,0.0001375848,0.0001301969,0.00001080645,0.0002602994,0.0001541336,0.0002592589],"category_scores_gemma":[0.000102821,0.00009811845,0.00003931656,0.00007802345,0.0005783645,0.0002459885,0.00007789797,0.0000504787,0.0000275428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003708579,"about_ca_system_score_gemma":0.0002744828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000535669,"about_ca_topic_score_gemma":0.0002287503,"domain_scores_codex":[0.9987748,0.00003723736,0.0005264371,0.0003021412,0.00008769145,0.0002716694],"domain_scores_gemma":[0.9993703,0.00005416691,0.0003176694,0.0001606165,0.000007501794,0.00008975961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001540232,0.00002782692,0.1569585,0.00001466551,0.00005425955,4.931774e-7,0.0005434088,3.961704e-7,0.0000530645,0.7692671,0.0001558895,0.07290905],"study_design_scores_gemma":[0.000910295,0.00005693867,0.7821248,0.0002754655,0.00002109702,0.000005873181,0.001518646,0.00001789924,0.00474169,0.1971061,0.01269677,0.0005244374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433291,0.00004144483,0.0004705174,0.006065357,0.0004820794,0.0003665898,0.00003266929,0.00007954968,0.1491327],"genre_scores_gemma":[0.9929742,0.0004304163,0.004878396,0.00002105041,0.00002910914,0.00001396856,0.000002883252,0.00001146129,0.001638561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6251664,"threshold_uncertainty_score":0.4001154,"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."}}