{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003337835,0.00006501281,0.00009788194,0.0001060322,0.00008251649,0.0001307262,0.00005443086,0.0000359098,0.0001216382],"category_scores_gemma":[0.00002098407,0.00007252819,0.0000110047,0.00008620589,0.00008752981,0.0003020985,0.00001774124,0.00005719105,0.00005514496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009788039,"about_ca_system_score_gemma":0.0001051404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003210482,"about_ca_topic_score_gemma":0.6282907,"domain_scores_codex":[0.9994922,0.00004893442,0.0001369728,0.0001558348,0.00002957555,0.0001364853],"domain_scores_gemma":[0.9997209,0.00001341853,0.00005265903,0.00005323912,0.00002090065,0.0001389015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008485108,0.00001005014,0.6158156,0.000005190446,0.000005237922,8.212481e-7,0.04197178,0.00006029895,0.000001134169,0.3404088,0.001001254,0.000711318],"study_design_scores_gemma":[0.001554736,0.00003540058,0.1480336,0.00002277945,0.0000125797,0.00000263036,0.06233921,0.009705439,0.000008005543,0.01924203,0.7585253,0.0005182775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9253842,0.00009217869,0.00002285811,0.004914206,0.0001013418,0.0001252557,0.000009443471,0.00002349453,0.06932698],"genre_scores_gemma":[0.9943919,0.00002600974,0.0001249187,0.0002304488,0.0001182498,0.000009516539,0.000005454153,0.000005127993,0.005088419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7575241,"threshold_uncertainty_score":0.485331,"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."}}