{"id":"W3211786239","doi":"10.21272/1817-9215.2021.3-9","title":"BIBLIOMETRIC ANALYSIS OF PUBLICATIONS ON MIGRATION, ECONOMY AND SECURITY OF THE COUNTRY","year":2021,"lang":"en","type":"article","venue":"Vìsnik Sumsʹkogo deržavnogo unìversitetu","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; China; Multidisciplinary approach; Regional science; Bibliometrics; Web of science; The arts; Political science; Period (music); Scientometrics; Geography; Library science; Social science; Sociology; Computer science","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":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.000591873,0.0001209028,0.0003245115,0.01236758,0.000412054,0.0000837555,0.0003676151,0.0001277987,0.0004437932],"category_scores_gemma":[0.0004112657,0.0001122919,0.000207885,0.08138904,0.0004741367,0.000336629,0.0001178023,0.0001130405,0.000007748873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862687,"about_ca_system_score_gemma":0.0005511932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054564,"about_ca_topic_score_gemma":0.005498237,"domain_scores_codex":[0.9985155,0.0001963577,0.0003811507,0.0003195373,0.0003631883,0.0002242635],"domain_scores_gemma":[0.9981635,0.0005568168,0.0003389065,0.0003804769,0.0004467374,0.0001136232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007487211,0.0001572264,0.8797259,0.00001955977,0.0009183348,8.519688e-7,0.005780579,0.00007851579,0.00003333277,0.0983132,0.01370467,0.00126033],"study_design_scores_gemma":[0.0002817086,0.00001160449,0.7370754,0.00001334878,0.0004040187,6.633475e-7,0.004540533,0.0001441494,0.0003681609,0.001626681,0.2553697,0.000164055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241868,0.0003902489,0.00003443297,0.007322157,0.0001517227,0.000135123,0.00008867763,0.00002686863,0.06766399],"genre_scores_gemma":[0.9965308,0.0006022401,0.0001125852,0.0003378661,0.00003324079,0.000006743364,0.00006506178,0.000006845396,0.002304649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.241665,"threshold_uncertainty_score":0.9988264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099762747626005,"score_gpt":0.2743602842171896,"score_spread":0.2533626567409295,"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."}}