{"id":"W3037855272","doi":"10.26650/jspc.2019.78.0036","title":"Türkiye’deki Suriyeli Sığınmacıların Sosyo-Ekonomik Yaşama Etkileri: Fayda Maliyet Ekseninde Bir Bakış","year":2020,"lang":"tr","type":"article","venue":"Sosyal Siyaset Konferansları Dergisi / Journal of Social Policy Conferences","topic":"Education and experiences of immigrants and refugees","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Context (archaeology); Socioeconomic status; Forced migration; Immigration; Geography; Mass migration; Political science; Quarter (Canadian coin); Development economics; Economy; Economic growth; Demography; Population; Sociology; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005361619,0.0006164443,0.0003584231,0.0006034871,0.001833073,0.001776156,0.0003582255,0.0009061369,0.01323235],"category_scores_gemma":[0.0009508138,0.0002096283,0.0003557697,0.0006628191,0.0007840784,0.001207866,0.001173386,0.0009514631,0.002134525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513433,"about_ca_system_score_gemma":0.00226034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01341277,"about_ca_topic_score_gemma":0.02049526,"domain_scores_codex":[0.9997229,0.00007214439,0.00002367951,0.00003573164,0.00005638191,0.00008907062],"domain_scores_gemma":[0.9996608,0.00006289694,0.00006624711,0.00001255772,0.0001499949,0.00004743556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00130296,0.0006589942,0.4024797,0.002364978,0.0002426108,0.02539877,0.06231399,0.001440153,0.006580801,0.04273223,0.0896849,0.3647999],"study_design_scores_gemma":[0.00006714754,0.0004928374,0.3645544,0.002210869,0.000189841,0.01328447,0.2445277,0.001452007,0.00305899,0.00578572,0.3642058,0.0001702606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.872986,0.02777939,0.001687488,0.01934724,0.001381613,0.0001242043,0.001130004,0.00007389628,0.07549008],"genre_scores_gemma":[0.9594318,0.01223105,0.001425326,0.001378693,0.0001732916,0.00007079359,0.0006351536,0.00001725124,0.02463663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01341277,"threshold_uncertainty_score":0.04426664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0482741489788796,"score_gpt":0.3495677039477825,"score_spread":0.3012935549689029,"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."}}