{"id":"W4206099276","doi":"10.52063/25792652-2021.2-209","title":"ЭКОНОМИЧЕСКИЕ И ФИНАНСОВЫЕ ПОКАЗАТЕЛИ БАНКОВСКОГО СЕКТОРА АРМЕНИИ ПОСЛЕ COVID-19 И ТРЕТЬЕЙ КАРАБАХСКОЙ ВОЙНЫ","year":2021,"lang":"en","type":"article","venue":"Scientific Artsakh","topic":"Global Socioeconomic and Political Dynamics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Quarter (Canadian coin); Equity (law); Pandemic; Economics; Coronavirus disease 2019 (COVID-19); Index (typography); Vector autoregression; Profit (economics); Monetary economics; Financial economics; Geography; Political science; Medicine","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001246558,0.0003863905,0.0007070549,0.0002717041,0.000967612,0.0007757082,0.0007009355,0.0002992408,0.009441321],"category_scores_gemma":[0.0008949267,0.0004734674,0.0004426563,0.0006801632,0.0007853188,0.0004341073,0.0003768466,0.0003842153,0.01147876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006802953,"about_ca_system_score_gemma":0.0004837223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003311565,"about_ca_topic_score_gemma":0.000312973,"domain_scores_codex":[0.9959344,0.00006793635,0.001123899,0.001517034,0.0001484422,0.00120831],"domain_scores_gemma":[0.9970073,0.0001890924,0.0003567198,0.001270698,0.0001364458,0.001039723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001443639,0.0002001977,0.01778566,0.00007192342,0.00007461791,0.00005088306,0.0007589016,0.0003468596,0.00002735347,0.9218013,0.05793954,0.0009283306],"study_design_scores_gemma":[0.0007023603,0.00003311573,0.001758471,0.00001017824,0.00001572113,0.00002464286,0.0004838503,0.00379954,0.00005923211,0.1528205,0.83973,0.0005623774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5151078,0.005117214,0.02148986,0.0245258,0.01694053,0.0007898976,0.004109628,0.0005714456,0.4113478],"genre_scores_gemma":[0.9157684,0.000100562,0.001375812,0.005669191,0.0004102346,0.00004013353,0.000428899,0.0000638905,0.07614282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7817905,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531278688416603,"score_gpt":0.26251360631899,"score_spread":0.207200819434824,"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."}}