{"id":"W2285602426","doi":"10.1111/coep.12167","title":"HOW DOES SKILLS MISMATCH AFFECT REMITTANCES? A STUDY OF FILIPINO MIGRANT WORKERS","year":2016,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Remittance; Instrumental variable; Affect (linguistics); Demographic economics; Migrant workers; Educational attainment; Unit (ring theory); Work (physics); Labour economics; Economics; Business; Psychology; Economic growth; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009922755,0.0001997636,0.0002313452,0.0006907083,0.0009769994,0.000609702,0.0003746259,0.0005429793,0.001786192],"category_scores_gemma":[0.004391945,0.0001162734,0.0002144499,0.001102485,0.0004576155,0.0005891417,0.0008018024,0.0004964373,0.0003187344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005624268,"about_ca_system_score_gemma":0.0003459835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050743,"about_ca_topic_score_gemma":0.02957496,"domain_scores_codex":[0.9995005,0.000228911,0.0000310258,0.00005378721,0.00005408823,0.0001317156],"domain_scores_gemma":[0.9975585,0.0007765574,0.001112535,0.0001180304,0.0001611404,0.0002732766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001358626,0.0001954872,0.9879063,0.00002609754,0.00003923807,0.0002676106,0.004033047,0.0001321997,0.0003658915,0.0002150195,0.000140762,0.006542464],"study_design_scores_gemma":[0.000001919028,0.0001125564,0.9938951,0.000009234882,0.00001024701,0.00004946384,0.00538291,0.000119405,0.00007444568,0.00005544238,0.0002868091,0.000002460924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999446,0.00008351295,0.00001642137,0.00006831239,0.000001136011,0.000002823203,0.00004622922,3.886277e-7,0.0003351965],"genre_scores_gemma":[0.9994377,0.0001034587,0.00001818827,0.00002160953,0.000004108603,0.000004557878,0.00006544915,3.629342e-7,0.0003445422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02050743,"threshold_uncertainty_score":0.04077613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909060324385461,"score_gpt":0.296526687993088,"score_spread":0.2774360847492334,"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."}}