{"id":"W3193981142","doi":"10.37332/2309-1533.2021.3-4.6","title":"FORMATION OF INVESTMENT RISKS UNDER THE INFLUENCE OF THE COVID-19 PANDEMIC IN UKRAINE","year":2021,"lang":"en","type":"article","venue":"INNOVATIVE ECONOMY","topic":"Business and Economic Development","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Pandemic; Subsidy; Business; Population; Identification (biology); Coronavirus disease 2019 (COVID-19); Public economics; Economics; Economic growth; Politics; Market economy; Political science; Environmental health; 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":[0.001813668,0.0001846174,0.0002017045,0.0007162794,0.001197588,0.002497192,0.0003917911,0.0007141975,0.001469312],"category_scores_gemma":[0.00401812,0.0001393385,0.00028513,0.0005604898,0.001113802,0.001267532,0.002349723,0.0009291618,0.00008455377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004946927,"about_ca_system_score_gemma":0.003055736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159151,"about_ca_topic_score_gemma":0.009142438,"domain_scores_codex":[0.9982911,0.0007106286,0.00009389118,0.0001174416,0.0002561532,0.0005308159],"domain_scores_gemma":[0.9974577,0.0007383896,0.001060694,0.00008714643,0.0004018428,0.0002543553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004425407,0.0002196004,0.6243846,0.0004272998,0.00027456,0.0162837,0.02516135,0.02935824,0.002450415,0.2078716,0.005059773,0.08806613],"study_design_scores_gemma":[0.00002618081,0.0003363394,0.6928695,0.0008258872,0.0002080947,0.004829271,0.100294,0.04536111,0.003737465,0.103011,0.04838008,0.0001211007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786629,0.0008009684,0.001658382,0.003564388,0.00002334619,0.00002827937,0.00008606673,0.00000966191,0.01516597],"genre_scores_gemma":[0.9987952,0.0002633329,0.0001666718,0.00006715921,0.000004765898,0.00000445979,0.00001792897,0.000001206535,0.0006794024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159151,"threshold_uncertainty_score":0.03589267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0575144086699102,"score_gpt":0.2749844202944127,"score_spread":0.2174700116245025,"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."}}