{"id":"W3200164650","doi":"10.1111/twec.12334","title":"Labour Migration and Economic Growth in East and South‐East Asia","year":2015,"lang":"en","type":"article","venue":"World Economy","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Remittance; East Asia; Economics; Economic shortage; Development economics; Position (finance); Net migration rate; China; Economic growth; Population; Political science; Population growth","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":[0.0005238896,0.0002792788,0.0001645779,0.0004234154,0.0003230889,0.001044822,0.0002017669,0.0002926772,0.002681142],"category_scores_gemma":[0.001193311,0.0001026056,0.0003591058,0.0006587637,0.0004312694,0.0009263927,0.001010195,0.0005193127,0.0001860405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008357192,"about_ca_system_score_gemma":0.0008091685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043029,"about_ca_topic_score_gemma":0.01341137,"domain_scores_codex":[0.999912,0.00003667894,0.000004949282,0.000007841233,0.00001059386,0.0000277879],"domain_scores_gemma":[0.9996511,0.0001377695,0.00008292441,0.00001518478,0.00005649654,0.00005659032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003620436,0.0002776962,0.6229243,0.0001437625,0.0002040769,0.001414667,0.002781089,0.2989222,0.001111101,0.03975252,0.002671815,0.02943463],"study_design_scores_gemma":[0.00009972759,0.000419545,0.45907,0.0003381284,0.000140427,0.0003703001,0.01449439,0.489932,0.001280608,0.02135694,0.01244602,0.00005188563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913186,0.0002075806,0.0005058862,0.0005443472,0.00001295025,0.000006525247,0.00008803996,0.00000665665,0.007309298],"genre_scores_gemma":[0.9989524,0.0002324956,0.0001007561,0.00001559377,0.000002599894,0.000003880731,0.00003687304,0.000001805968,0.0006535304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02043029,"threshold_uncertainty_score":0.04062277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845133770513926,"score_gpt":0.2404462596117578,"score_spread":0.2219949219066185,"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."}}