{"id":"W2963765345","doi":"10.1111/imig.12614","title":"Demographic Data on Syrians in Turkey: What do we know?","year":2019,"lang":"en","type":"article","venue":"International Migration","topic":"Turkish Urban and Social Issues","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Refugee; Refugee crisis; Population; Political science; Development economics; Syrian refugees; Demographic statistics; Spanish Civil War; Outbreak; Geography; Economic growth; Regional science; Population statistics; Developed country; Sociology; Law; Demography; Economics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004062492,0.00007712377,0.00009208028,0.0001775327,0.00008290664,0.0003553866,0.0005491205,0.00009997995,0.0005005031],"category_scores_gemma":[0.0001350634,0.00007836331,0.00003818983,0.0002401845,0.00005896071,0.001261822,0.00004757404,0.0001069367,0.0003194525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172375,"about_ca_system_score_gemma":0.00006160432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004051957,"about_ca_topic_score_gemma":0.04540551,"domain_scores_codex":[0.99885,0.0001170417,0.00016983,0.0002626611,0.0004547098,0.0001457957],"domain_scores_gemma":[0.9994711,0.0001283901,0.00006833916,0.0002118379,0.00007884434,0.00004149468],"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":[0.0001591523,0.0005554628,0.216118,0.00001791928,0.0001139046,0.00002214715,0.1034142,0.0003456083,0.0007109854,0.3851388,0.06292965,0.2304741],"study_design_scores_gemma":[0.0002482479,0.00002618204,0.006787271,0.0002196553,0.000003920634,2.362857e-7,0.01116651,0.00100015,0.00002962106,0.005704152,0.974682,0.0001320115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913909,0.00375153,0.00004334555,0.04011387,0.004700401,0.0004586426,0.00004885748,0.0001059488,0.03686846],"genre_scores_gemma":[0.9826528,0.01141436,0.00005657607,0.0002560337,0.000536443,0.000007820069,0.0001285524,0.000007961221,0.00493942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9117524,"threshold_uncertainty_score":0.9720134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158516231445771,"score_gpt":0.3304994144709656,"score_spread":0.2989142521565079,"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."}}