{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002211354,0.0003826823,0.0004643883,0.005623369,0.0003840707,0.001007981,0.0005766161,0.0005734581,0.002483412],"category_scores_gemma":[0.006002799,0.0001755714,0.0002543853,0.005166562,0.0005064476,0.001215299,0.0005915885,0.0005819882,0.0005655452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008329303,"about_ca_system_score_gemma":0.001510078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01917754,"about_ca_topic_score_gemma":0.01737952,"domain_scores_codex":[0.9987085,0.0004269577,0.0002913896,0.0001650695,0.000270614,0.0001374685],"domain_scores_gemma":[0.9940931,0.001468753,0.001373435,0.0003334947,0.002301277,0.0004299586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001707897,0.0001037551,0.8519081,0.001985173,0.0001161372,0.0003197572,0.003281261,0.0004401022,0.0002788912,0.001173197,0.02043152,0.1197913],"study_design_scores_gemma":[0.000005437654,0.00009120024,0.9612643,0.0009540268,0.00004923695,0.0003651567,0.007096402,0.0002556276,0.0001850033,0.0002547566,0.02944537,0.00003351059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770127,0.03866971,0.0008075879,0.01021632,0.000689833,0.0001229984,0.06098929,0.00008789366,0.01140365],"genre_scores_gemma":[0.9483268,0.02297719,0.001026886,0.0008596656,0.0004233907,0.0001359213,0.02547836,0.00001428091,0.0007575808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917754,"threshold_uncertainty_score":0.03813183,"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."}}