{"id":"W4200309828","doi":"10.33763/finukr2021.11.045","title":"International economy: deepening and expanding research potential in Ukraine","year":2021,"lang":"en","type":"article","venue":"Fìnansi Ukraïni","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Competition (biology); Context (archaeology); Government (linguistics); State (computer science); Political science; Staffing; International trade; Business","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":[0.002545152,0.0001250998,0.0003097506,0.001797047,0.001822588,0.00602061,0.0002803668,0.0007322726,0.002174184],"category_scores_gemma":[0.00277102,0.0001052315,0.0002357091,0.002636837,0.002988555,0.00391777,0.003262952,0.0007114242,0.0002511724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004187512,"about_ca_system_score_gemma":0.008646772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005793566,"about_ca_topic_score_gemma":0.004213571,"domain_scores_codex":[0.9987677,0.0005338409,0.00008525242,0.0001119338,0.0002399937,0.0002612458],"domain_scores_gemma":[0.9978499,0.0007717837,0.0004527603,0.0001831518,0.0003757046,0.0003667817],"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":[0.00005777116,0.00005810778,0.0219794,0.0003400403,0.0000272965,0.0008121165,0.009949723,0.0009985869,0.0006428256,0.8708134,0.00680476,0.08751598],"study_design_scores_gemma":[0.00002084478,0.0001177079,0.1149404,0.000991836,0.00004673383,0.001242412,0.02375552,0.001701644,0.001057707,0.1753599,0.6807344,0.00003094761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5045197,0.05654005,0.004274365,0.04733706,0.0004613127,0.00003853447,0.0002621476,0.00008743461,0.3864794],"genre_scores_gemma":[0.9828122,0.009600678,0.0008838027,0.0006529683,0.0001082172,0.00001456943,0.00004312152,0.000008832175,0.00587551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00602061,"threshold_uncertainty_score":0.03038263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07360142490543571,"score_gpt":0.3164343051009728,"score_spread":0.2428328801955371,"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."}}