{"id":"W7095793670","doi":"","title":"BARRETT AND GOGGIN RETURNING TO THE QUESTION OF A WAGE PREMIUM FOR RETURNING MIGRANTS R43 RETURNING TO THE QUESTION OF A WAGE PREMIUM FOR RETURNING MIGRANTS","year":2016,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Human capital; Emigration; Test (biology); Estimation","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":[0.002832367,0.0001275142,0.0002971803,0.0007379488,0.0004805321,0.001253023,0.0003602724,0.001034888,0.007727764],"category_scores_gemma":[0.02029406,0.00006743091,0.0004414986,0.0008204178,0.001322675,0.001063486,0.0007494504,0.001163565,0.0005425259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004542646,"about_ca_system_score_gemma":0.000393368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01743423,"about_ca_topic_score_gemma":0.01142064,"domain_scores_codex":[0.9991977,0.0004225246,0.00005123884,0.00008452893,0.0001154295,0.0001286757],"domain_scores_gemma":[0.9938922,0.003217291,0.00120905,0.0004089111,0.0005591291,0.0007134469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001748483,0.0001156585,0.9462146,0.00007105435,0.0001017812,0.0002612111,0.004554775,0.0004197314,0.0002699051,0.01094494,0.006515898,0.03035566],"study_design_scores_gemma":[0.00001677289,0.000102873,0.9775901,0.00009370018,0.00003973252,0.0002185082,0.009844651,0.0006579538,0.0001816159,0.006461318,0.004767748,0.00002495148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738603,0.0008832793,0.0008626639,0.01585448,0.0001003394,0.00001334184,0.0003270014,0.000007560197,0.008091012],"genre_scores_gemma":[0.9973291,0.0002184181,0.0001406506,0.000552151,0.00006487546,0.000005922978,0.00008492657,0.000003725209,0.001600266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01743423,"threshold_uncertainty_score":0.03466552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816636455629925,"score_gpt":0.3229335313626153,"score_spread":0.304767166806316,"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."}}