{"id":"W3204684812","doi":"10.33764/2618-981x-2021-2-4-228-236","title":"THE ESTIMATION OF INFLUENCE OF THE SHARP OIL PRICES REDUCTION AND SANCTIONS ON THE DYNAMICS OF RUSSIAN CRUCIAL MACROECONOMIC INDICATORS","year":2021,"lang":"en","type":"article","venue":"Interexpo GEO-Siberia","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Dynamic stochastic general equilibrium; Inflation (cosmology); Shock (circulatory); Oil price; Monetary economics; Sanctions; Monetary policy; Quarter (Canadian coin); Macroeconomics; Econometrics","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":[0.0007360721,0.0003123593,0.0003151475,0.0008057526,0.0001931529,0.0008677221,0.000175111,0.0002763267,0.001448763],"category_scores_gemma":[0.002791821,0.0001352431,0.0004779354,0.0005440398,0.0002040424,0.0005443702,0.0004932383,0.0004860561,0.0002117406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004619402,"about_ca_system_score_gemma":0.0005048253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183508,"about_ca_topic_score_gemma":0.004956727,"domain_scores_codex":[0.9997596,0.00005211643,0.00002270393,0.00006181589,0.00004316601,0.00006054353],"domain_scores_gemma":[0.9992981,0.0003161222,0.000184846,0.00004106699,0.0001211822,0.00003865672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004201168,0.0001272206,0.7995318,0.0002374319,0.0004311821,0.000908453,0.0006834355,0.1306671,0.007078359,0.007970885,0.002114441,0.04982954],"study_design_scores_gemma":[0.00001433808,0.0001373136,0.7787967,0.00004855746,0.0001469474,0.0001700179,0.0007522352,0.2105127,0.004313481,0.002080158,0.002985995,0.0000414215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937017,0.0002236558,0.002717931,0.00009784132,0.00001710095,0.00001084951,0.0005742945,0.00003707459,0.002619549],"genre_scores_gemma":[0.9984062,0.0001574488,0.000410056,0.000007010398,0.000009636761,0.000005619765,0.0006443459,0.000005646411,0.0003540239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01183508,"threshold_uncertainty_score":0.02353245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009803279081313083,"score_gpt":0.2146887066633127,"score_spread":0.2048854275819996,"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."}}