{"id":"W4238173421","doi":"10.35940/ijeat.f1170.0886s19","title":"International Labor Mobility, Unemployment Impact to Economic Growth","year":2019,"lang":"en","type":"article","venue":"International Journal of Engineering and Advanced Technology","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Immigration; Sample (material); Nonprobability sampling; Economics; Demographic economics; Labour economics; Development economics; Economic growth; Political science; Sociology","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":[0.0007128929,0.0001836385,0.000239132,0.001047138,0.0007040268,0.001214186,0.0001505703,0.0002681217,0.00464906],"category_scores_gemma":[0.003407486,0.00005625332,0.0003444866,0.001665132,0.000456065,0.0007306085,0.001435375,0.0006207763,0.000277699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009966495,"about_ca_system_score_gemma":0.0009231159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995906,"about_ca_topic_score_gemma":0.02548304,"domain_scores_codex":[0.9992815,0.0002138856,0.00004583607,0.00006632492,0.00008962925,0.0003028867],"domain_scores_gemma":[0.9983603,0.0003474164,0.0006245252,0.0000581263,0.0001566016,0.0004529459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002421415,0.0001033295,0.9642514,0.00007392508,0.00008398758,0.0002683633,0.0009601508,0.00150484,0.0001144315,0.007316004,0.001744413,0.02333694],"study_design_scores_gemma":[0.00000500899,0.00008317389,0.9865133,0.0001123575,0.0000488094,0.0001239195,0.003562558,0.001169392,0.0001072299,0.001418434,0.006845222,0.0000106899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781657,0.003420485,0.0003332916,0.001948884,0.00007512912,0.00001251674,0.0009605657,0.000009091539,0.01507445],"genre_scores_gemma":[0.9978563,0.0007297927,0.00004896138,0.00003139013,0.00003251394,0.000005667313,0.0002232898,0.000002151467,0.001069862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995906,"threshold_uncertainty_score":0.03968579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006405222148929871,"score_gpt":0.2275008149284984,"score_spread":0.2210955927795686,"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."}}