{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086121,0.0003793976,0.0002528975,0.001849112,0.001750555,0.003324456,0.000324689,0.0006548055,0.018798],"category_scores_gemma":[0.002132732,0.0003672134,0.0002979965,0.002040539,0.001361304,0.00109706,0.001241626,0.001396258,0.006767062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676859,"about_ca_system_score_gemma":0.003421473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007488767,"about_ca_topic_score_gemma":0.01004359,"domain_scores_codex":[0.9988165,0.0001361774,0.00007132597,0.0001591281,0.0006562652,0.0001605799],"domain_scores_gemma":[0.9990669,0.0001754979,0.0001662042,0.0001207892,0.000377848,0.00009267213],"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":[0.0001979212,0.0001132886,0.006408098,0.0004218239,0.00003974198,0.001183761,0.003032053,0.001679289,0.02055119,0.4821327,0.01548737,0.4687528],"study_design_scores_gemma":[0.0000288288,0.0001498793,0.01490152,0.0002015451,0.00004583392,0.001629888,0.001488337,0.0008101015,0.01363895,0.04045432,0.9265704,0.00008036145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1565748,0.02510883,0.06602486,0.005289893,0.002296282,0.0003125794,0.001125634,0.0004840588,0.742783],"genre_scores_gemma":[0.8277233,0.01507536,0.03589692,0.0003504408,0.0004621893,0.0002733851,0.000457108,0.0001603963,0.1196009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.018798,"threshold_uncertainty_score":0.06288558,"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."}}