{"id":"W3000029743","doi":"","title":"ВНЕШНЯЯ ПОМОЩЬ РАЗВИТИЮ УКРАИНЫ ПОСЛЕ 2014 Г.: МАСШТАБЫ, ПРОЕКТЫ И МОТИВАЦИЯ ДОНОРОВ","year":2018,"lang":"ru","type":"article","venue":"Вестник МГИМО-Университета","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Enforcement; State (computer science); Political science; Public administration; Business; Christian ministry; Economic policy; Economic growth; International trade; Economics; Law","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004008283,0.002247583,0.003684496,0.001729991,0.001345792,0.001080378,0.003845773,0.001967002,0.04174292],"category_scores_gemma":[0.001289635,0.002963082,0.001412555,0.001449182,0.002244191,0.001734166,0.001729787,0.002036074,0.1350609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615016,"about_ca_system_score_gemma":0.0004126162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001808051,"about_ca_topic_score_gemma":0.0008781577,"domain_scores_codex":[0.9859787,0.0002854992,0.005048823,0.004341025,0.0004051721,0.003940814],"domain_scores_gemma":[0.9891601,0.0007639942,0.002900482,0.005311423,0.0005188429,0.001345129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000636356,0.00217813,0.09420253,0.000972505,0.002503519,0.0003439477,0.01597554,0.000361857,0.000341011,0.391477,0.4674469,0.0235607],"study_design_scores_gemma":[0.004015432,0.001343108,0.006976923,0.0002864752,0.0002001808,0.0001335645,0.0005431543,0.008312074,0.001248858,0.02267767,0.9507044,0.003558152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3036487,0.02911326,0.001822564,0.006776477,0.02737601,0.002414412,0.002999457,0.0008331414,0.6250159],"genre_scores_gemma":[0.8927518,0.004936704,0.00356999,0.003599538,0.01232673,0.000195992,0.0003590174,0.0006875888,0.0815726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5891031,"threshold_uncertainty_score":0.9999566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818801109215529,"score_gpt":0.2310740237108715,"score_spread":0.2028860126187162,"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."}}