{"id":"W4321791062","doi":"10.1093/epolic/eiad001","title":"The legacies of war for Ukraine","year":2023,"lang":"en","type":"article","venue":"Economic Policy","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Politics; Context (archaeology); Political repression; Refugee; Ukrainian; Political science; Political economy; Ethnic group; Criminology; Development economics; Sociology; History; Law; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005036561,0.00004263409,0.00008137715,0.00005166036,0.0003797248,0.0000272553,0.0002396728,0.0000322017,0.00002694109],"category_scores_gemma":[0.0001665507,0.00003531526,0.00007264941,0.00008032642,0.0001895011,0.00005681918,0.00003142633,0.00002444542,0.0001626913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005622999,"about_ca_system_score_gemma":0.0002927184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008062234,"about_ca_topic_score_gemma":0.004488256,"domain_scores_codex":[0.9994804,0.00002710886,0.0001222602,0.00008304727,0.00003795634,0.0002492231],"domain_scores_gemma":[0.9995624,0.0002051073,0.00005238962,0.0001213917,0.00001420995,0.0000444632],"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":[0.000006107392,0.000005024823,0.0002692923,0.000006612915,0.00002314688,9.876953e-8,0.03691848,0.00001257565,0.00003721286,0.9007145,0.05164736,0.01035964],"study_design_scores_gemma":[0.0001187171,0.0000130035,0.001744627,0.000001149161,0.000002725669,9.191166e-8,0.007451371,0.00008195249,0.0001202145,0.02755317,0.9628659,0.0000471143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6271431,0.0004826778,0.000009713403,0.05197644,0.00102621,0.0004480591,0.00009383966,0.0001421831,0.3186778],"genre_scores_gemma":[0.982215,0.0007701732,0.000008722626,0.0001831872,0.001022668,0.00002501298,0.000002574551,0.000006098037,0.01576658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9112185,"threshold_uncertainty_score":0.9985431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689327005308268,"score_gpt":0.3545668705924944,"score_spread":0.3076736005394117,"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."}}