{"id":"W2591850731","doi":"","title":"Macroeconomic determinants of Emigration from Kenya","year":2016,"lang":"en","type":"preprint","venue":"MPRA Paper","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Kenya; Attractiveness; Demographic economics; Inflation (cosmology); Economics; Destinations; Population; Per capita; Overtime; Exchange rate; Geography; Gravity model of trade; Development economics; Tourism; Labour economics; Demography; Political science; International economics; Macroeconomics","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":[0.0002153287,0.0001192758,0.0001313516,0.0004349957,0.0005036461,0.0006550324,0.0001192669,0.0001692139,0.002208823],"category_scores_gemma":[0.001026519,0.00006195471,0.0001737282,0.0008149559,0.00017487,0.00026098,0.0005436072,0.0004052793,0.0002150125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000596287,"about_ca_system_score_gemma":0.0005767692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05127596,"about_ca_topic_score_gemma":0.07854179,"domain_scores_codex":[0.999869,0.00002559694,0.000009350672,0.00001293696,0.00001672332,0.00006643801],"domain_scores_gemma":[0.9995995,0.00004322096,0.0001982322,0.00001594523,0.0000581798,0.00008491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005458196,0.00004444946,0.9910173,0.00003103599,0.00002912935,0.0002636087,0.0005139626,0.000522966,0.0001960732,0.0009486806,0.0005094542,0.005868739],"study_design_scores_gemma":[0.000001474033,0.00001422505,0.9965032,0.00002595441,0.00001099368,0.00004633356,0.001649928,0.000330423,0.00006001037,0.00008983323,0.001264434,0.000003150159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954287,0.0002960435,0.0000873347,0.000263778,0.000009204913,0.00001015511,0.000258997,0.000001925277,0.003643844],"genre_scores_gemma":[0.9989625,0.0002650782,0.00002747943,0.00001675678,0.000004280698,0.000003112469,0.0001316892,7.73944e-7,0.0005882759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05127596,"threshold_uncertainty_score":0.101955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640883250137004,"score_gpt":0.2994660812143147,"score_spread":0.2830572487129446,"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."}}