{"id":"W3124706489","doi":"10.3386/w23433","title":"The Labor Market Effects of Refugee Waves: Reconciling Conflicting Results","year":2017,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada","keywords":"Refugee; Miami; Spurious relationship; Immigration; Demographic economics; Natural experiment; Population; Economics; Development economics; Labour economics; Political science; Sociology; Demography; Medicine; Mathematics","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":[0.08787709,0.001250471,0.002506756,0.007880695,0.001458607,0.004394365,0.004771544,0.002719913,0.003607966],"category_scores_gemma":[0.1618914,0.0007216232,0.002163741,0.006482447,0.005486487,0.004296253,0.005450316,0.002357139,0.000624367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071058,"about_ca_system_score_gemma":0.0009387693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004906109,"about_ca_topic_score_gemma":0.003976162,"domain_scores_codex":[0.9521023,0.03438488,0.004411817,0.004333961,0.003640303,0.001126721],"domain_scores_gemma":[0.6305282,0.3160195,0.01534644,0.02608321,0.01021513,0.001807449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004493234,0.001029739,0.6950853,0.006959322,0.01665641,0.001551841,0.01307069,0.002350473,0.002831621,0.04052073,0.007036752,0.2084138],"study_design_scores_gemma":[0.0005329365,0.001045974,0.8913326,0.003853414,0.006845106,0.0004851116,0.0208822,0.004423379,0.003686064,0.04810904,0.01858094,0.0002232448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8228603,0.1027572,0.01688027,0.03024732,0.001740861,0.0002998237,0.003164136,0.00009464994,0.0219554],"genre_scores_gemma":[0.9668543,0.016411,0.004616104,0.007687148,0.001567644,0.0001629108,0.001636077,0.00008536592,0.0009794581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08787709,"threshold_uncertainty_score":0.464744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1694924492712546,"score_gpt":0.5181371151010945,"score_spread":0.3486446658298399,"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."}}