{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006337795,0.0002832901,0.0003974333,0.0005929432,0.00008544209,0.0005531838,0.000870995,0.0002148706,0.0007624833],"category_scores_gemma":[0.0001226771,0.0002510938,0.00009974432,0.0003306933,0.0006418169,0.001093859,0.000758002,0.0004880096,0.0002888199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531145,"about_ca_system_score_gemma":0.0001644659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004154704,"about_ca_topic_score_gemma":0.00001180631,"domain_scores_codex":[0.9981666,0.00001274287,0.0010455,0.000367752,0.0001314089,0.0002760362],"domain_scores_gemma":[0.9989536,0.00009876738,0.0005573392,0.0001554463,0.0001888548,0.00004594893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001010223,0.0001250158,0.00763595,0.00003934975,0.001118332,0.0001905243,0.0007219594,0.0005302783,0.001406171,0.1494617,0.01274079,0.8259289],"study_design_scores_gemma":[0.001123041,0.0003036019,0.03456181,0.000711618,0.00005437778,0.0008875367,0.004381446,0.006765041,0.007990415,0.09739284,0.8449413,0.0008870087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529097,0.004317545,0.000550525,0.02820547,0.005704773,0.0001256147,0.00009311084,0.00007244809,0.008020823],"genre_scores_gemma":[0.9717433,0.02485478,0.002244801,0.0002737872,0.0002244947,0.000004721816,0.000004947387,0.00002500791,0.0006241444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8322005,"threshold_uncertainty_score":0.9999942,"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."}}