{"id":"W4403498333","doi":"10.55439/eit/vol12_iss4/i3","title":"СОВРЕМЕННЫЕ ТЕНДЕНЦИИ МЕЖДУНАРОДНОЙ МИГРАЦИИ КАПИТАЛА","year":2024,"lang":"ru","type":"article","venue":"International Journal of Economics and Innovative Technologies","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nordic Life Science Pipeline (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002036237,0.0005717773,0.0004991464,0.002602088,0.002403443,0.007403725,0.001039769,0.002003259,0.04239233],"category_scores_gemma":[0.008300135,0.0008410272,0.0007138277,0.002536129,0.003771961,0.004853206,0.002161639,0.002632417,0.01267341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198742,"about_ca_system_score_gemma":0.004925943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003908666,"about_ca_topic_score_gemma":0.004520305,"domain_scores_codex":[0.9961771,0.0006826636,0.0001924276,0.0006649713,0.00199992,0.0002829267],"domain_scores_gemma":[0.9948273,0.001439314,0.0006457269,0.0009610454,0.001802084,0.0003244109],"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":[0.0001089719,0.00009973413,0.002771661,0.0006564968,0.00006095388,0.0005369323,0.001863056,0.002060682,0.01703979,0.8106574,0.01576171,0.1483825],"study_design_scores_gemma":[0.00005240032,0.00009716866,0.004923688,0.0003765932,0.00009455797,0.001293983,0.001870591,0.00285616,0.02090802,0.3797181,0.587655,0.0001536989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05177854,0.01720377,0.2036963,0.0147481,0.002454188,0.0003406063,0.00181752,0.0008071948,0.7071537],"genre_scores_gemma":[0.6194868,0.01945604,0.1681343,0.001460675,0.001201111,0.0009429406,0.001242052,0.0007282639,0.1873478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04239233,"threshold_uncertainty_score":0.1418165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586472332822676,"score_gpt":0.2359513367008761,"score_spread":0.2200866133726493,"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."}}