{"id":"W2802067717","doi":"10.1453/jepe.v5i1.1566","title":"An empirical analysis of Diaspora bonds","year":2018,"lang":"en","type":"article","venue":"KSP Journals - Journal of Economics Bibliography","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Diaspora; Bond; Supply side; Closeness; Economics; Monetary economics; Development economics; International economics; Political science; Finance; Mathematics","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":[0.001399008,0.0001616158,0.0002151777,0.001282389,0.0005355939,0.001297026,0.0003033656,0.000270968,0.004520848],"category_scores_gemma":[0.01134159,0.0001201132,0.0001428192,0.002636701,0.0004826256,0.0009943254,0.0008371713,0.0007520004,0.0004312747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005356307,"about_ca_system_score_gemma":0.0003710531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0034155,"about_ca_topic_score_gemma":0.003387706,"domain_scores_codex":[0.9994646,0.0001991163,0.00006675645,0.00007626721,0.0001014605,0.00009183792],"domain_scores_gemma":[0.9892273,0.003627438,0.004404446,0.000574431,0.001348552,0.0008177836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009992519,0.00008040365,0.9764463,0.00006272217,0.00005823646,0.0004034274,0.001179116,0.0007039321,0.0002040364,0.00439327,0.001261076,0.01510751],"study_design_scores_gemma":[0.00001407885,0.0001429228,0.9670218,0.0001393471,0.00005253064,0.0006580508,0.009729489,0.004927971,0.0009825745,0.002469847,0.01384546,0.00001607785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993763,0.0004932456,0.0004146658,0.0002272211,0.000008742057,0.00001483302,0.0006727359,0.000005366337,0.004400226],"genre_scores_gemma":[0.9983594,0.0003029491,0.00007382312,0.00001369956,0.000008891008,0.000006007896,0.0005298801,0.00000184192,0.0007034249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004520848,"threshold_uncertainty_score":0.01512367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06100904570729887,"score_gpt":0.31625950302677,"score_spread":0.2552504573194711,"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."}}