{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001495133,0.001417901,0.002354677,0.0009781445,0.001282219,0.001241679,0.002007104,0.001186469,0.008117098],"category_scores_gemma":[0.0004116583,0.001931732,0.0008713283,0.0008406639,0.001125868,0.001387135,0.0007242418,0.0005263937,0.04978768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398395,"about_ca_system_score_gemma":0.0004935945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004463973,"about_ca_topic_score_gemma":0.003233035,"domain_scores_codex":[0.991259,0.0001376541,0.003414164,0.002490657,0.0001666391,0.002531919],"domain_scores_gemma":[0.9936577,0.0002432264,0.002288903,0.002557253,0.0003237496,0.0009291329],"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":[0.0003895606,0.0006508229,0.21807,0.000242749,0.0007701961,0.00001695186,0.004335389,0.0003436788,0.00006277154,0.250165,0.5230744,0.001878503],"study_design_scores_gemma":[0.002723506,0.0007169487,0.1017494,0.000117251,0.000126966,0.00004082144,0.0004581216,0.004964088,0.0003941654,0.01481286,0.8715646,0.002331318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6223755,0.02059891,0.004716901,0.004365493,0.01978846,0.002063896,0.005902309,0.0006593144,0.3195292],"genre_scores_gemma":[0.9539571,0.006113219,0.001082452,0.003605519,0.007006367,0.00008577147,0.000324079,0.0003665742,0.02745892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3484902,"threshold_uncertainty_score":0.9998571,"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."}}