{"id":"W1931777787","doi":"10.5539/ibr.v8n9p1","title":"The Impacts of Forced Migration on Regional Economies: The Case of Syrian Refugees in Turkey","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Immigration; Syrian refugees; Unemployment; Forced migration; Geography; Development economics; Spanish Civil War; Politics; Political science; Displaced person; Internal migration; Illegal immigrants; Economy; Demographic economics; Economic growth; Economics; Developing country","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002872035,0.00004874541,0.00007421822,0.0001858109,0.0001942271,0.0000859341,0.0004134752,0.00005138814,0.00004317256],"category_scores_gemma":[0.002676419,0.00002960085,0.00002839382,0.0005408138,0.0004629794,0.0001711775,0.00004516711,0.0001435332,0.000008269863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174536,"about_ca_system_score_gemma":0.0005452461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03061666,"about_ca_topic_score_gemma":0.1967548,"domain_scores_codex":[0.9985439,0.0003461439,0.0002507851,0.0001045147,0.0005974881,0.0001571549],"domain_scores_gemma":[0.9971302,0.0009092421,0.0001094357,0.0001553773,0.001645384,0.0000503576],"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":[0.0006997922,0.0002441968,0.01558774,0.00002396481,0.00006980062,0.00005569039,0.05031906,0.009987695,0.0006042696,0.8968953,0.02107153,0.004440954],"study_design_scores_gemma":[0.003085168,0.0003077902,0.1064787,0.0004134507,0.00001159646,0.00006759669,0.1336302,0.05232421,0.001271061,0.06291394,0.6390762,0.0004200948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622608,0.00005305162,0.00002024302,0.02910489,0.0002106983,0.0001988971,0.00001575231,0.000004757622,0.008130946],"genre_scores_gemma":[0.9979743,0.0001917885,0.00001945852,0.00004747814,0.0001376357,0.00001892553,0.00001188901,0.000004353678,0.001594222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8339813,"threshold_uncertainty_score":0.9758385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08943235880101039,"score_gpt":0.4330383609427647,"score_spread":0.3436060021417543,"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."}}