{"id":"W2923199829","doi":"10.18290/reiz.2018.10.3-6","title":"Sankcje wobec Rosji a gospodarka rosyjska w okresie 2014-2018","year":2018,"lang":"pl","type":"article","venue":"Roczniki Ekonomii i Zarządzania","topic":"Globalization, Economics, and Policies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Economic sanctions; Liberian dollar; Depreciation (economics); Economics; Inflation (cosmology); Russian economy; Economic policy; Soviet union; Pace; Us dollar; Economy; International trade; Exchange rate; Political science; International economics; Economic growth; Economic system; Monetary economics; Geography; Law; Human capital; Finance","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":[0.0005530216,0.0003666721,0.0004135765,0.001745556,0.001030222,0.002968066,0.0002711828,0.0003923665,0.01251376],"category_scores_gemma":[0.000872107,0.0001778243,0.0003036301,0.00161478,0.0005989476,0.001065367,0.001583425,0.001420479,0.003368395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250755,"about_ca_system_score_gemma":0.003163031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006402247,"about_ca_topic_score_gemma":0.01019373,"domain_scores_codex":[0.9996287,0.00004140139,0.00004805509,0.00007364045,0.0001125311,0.00009576037],"domain_scores_gemma":[0.9995747,0.00004103615,0.0001394711,0.00003687325,0.000122411,0.00008551852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001143941,0.0006399956,0.1053058,0.004045564,0.0003325463,0.004305352,0.009090682,0.007427011,0.009768521,0.1499271,0.1140959,0.5939176],"study_design_scores_gemma":[0.0000333581,0.0001785346,0.2060724,0.0008278858,0.00008695464,0.0008433388,0.003720474,0.0009135745,0.003509508,0.007392135,0.7763615,0.00006044059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6371782,0.02790508,0.009087637,0.007800202,0.002996868,0.0003639473,0.01086165,0.000745985,0.3030605],"genre_scores_gemma":[0.8716266,0.02010288,0.004523002,0.0005192454,0.0005659765,0.0002049941,0.007255253,0.0004101629,0.09479191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251376,"threshold_uncertainty_score":0.04186267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107347905379545,"score_gpt":0.2186942617169669,"score_spread":0.1976207826631715,"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."}}