{"id":"W7140508745","doi":"10.18523/2414-9942.11.2025.48-63","title":"Current Trends and Prospects of Ukrainian Return Migration","year":2025,"lang":"","type":"article","venue":"Kyiv-Mohyla Law and Politics Journal","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Ukrainian; Bureaucracy; Government (linguistics); Social security; Position (finance); Civil society","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004142932,0.0001565963,0.0001995148,0.001091434,0.0007339312,0.001512122,0.000342617,0.0003605007,0.002163237],"category_scores_gemma":[0.0006080386,0.00009063906,0.0001745305,0.001447273,0.0006663516,0.0009588142,0.00117575,0.0004432421,0.0002857723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633417,"about_ca_system_score_gemma":0.002392886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920035,"about_ca_topic_score_gemma":0.01460421,"domain_scores_codex":[0.9997446,0.00004448235,0.00003601425,0.00004421083,0.00004182869,0.00008885544],"domain_scores_gemma":[0.9996613,0.00004711741,0.000136717,0.00001380904,0.00008771224,0.000053318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002338314,0.0001077796,0.6089884,0.001805794,0.0000911275,0.003027997,0.01291231,0.002634103,0.002205391,0.02941481,0.007948024,0.3306305],"study_design_scores_gemma":[0.000007493058,0.0001198835,0.7886579,0.0009497419,0.00006393754,0.002896953,0.03713499,0.001062212,0.0009511345,0.003919791,0.164194,0.00004194102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9124379,0.05449319,0.001089318,0.01057247,0.0002440041,0.00001602396,0.0006211468,0.00008155267,0.02044447],"genre_scores_gemma":[0.9718298,0.02423137,0.000367993,0.0005121625,0.00006965923,0.000008445749,0.0003455694,0.00001144146,0.002623688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01920035,"threshold_uncertainty_score":0.03817719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584422580140026,"score_gpt":0.2594389133221002,"score_spread":0.2435946875207,"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."}}