{"id":"W3021718526","doi":"10.1787/5jzb8p51gvhl-en","title":"Migration as an Adjustment Mechanism in the Crisis? A Comparison of Europe and the United States","year":2014,"lang":"en","type":"paratext","venue":"OECD social employment and migration working papers","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Directorate-General for Employment, Social Affairs and Inclusion; European Commission","keywords":"Shock (circulatory); Context (archaeology); Immigration; Economics; Quarter (Canadian coin); Population; Currency; Demographic economics; International economics; Labour economics; Monetary economics; Geography; Demography","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":[0.0006542132,0.0001411472,0.0003206909,0.001403279,0.0003896119,0.001977657,0.0002140157,0.0006721299,0.002841627],"category_scores_gemma":[0.001922007,0.0001158581,0.000530396,0.001766996,0.0006557241,0.001226778,0.001372083,0.0004359371,0.0003236981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004061758,"about_ca_system_score_gemma":0.0003419482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008897648,"about_ca_topic_score_gemma":0.009964707,"domain_scores_codex":[0.9996056,0.0001312439,0.00003617577,0.00004905988,0.00002943362,0.0001484767],"domain_scores_gemma":[0.9994012,0.0001040188,0.0002285094,0.00003750907,0.00009318027,0.0001355398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001339317,0.000191094,0.8431388,0.0003014867,0.0002964546,0.001472856,0.00835736,0.003309847,0.002381336,0.02446248,0.005458315,0.1092907],"study_design_scores_gemma":[0.00002444159,0.0000852235,0.9789711,0.0001942658,0.00005302044,0.0002607892,0.009227878,0.0008811734,0.0001712803,0.001611746,0.008502648,0.00001645373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810982,0.002506637,0.0001658755,0.002398153,0.0000677098,0.000005438895,0.0001135808,0.000009868611,0.01363458],"genre_scores_gemma":[0.9982273,0.0008213135,0.00005775059,0.0003232261,0.00002704267,0.000003868155,0.00009356929,0.000004759283,0.0004411022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008897648,"threshold_uncertainty_score":0.01769173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0456418561718759,"score_gpt":0.2808699551864409,"score_spread":0.235228099014565,"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."}}