{"id":"W3134554996","doi":"10.3390/jrfm14030107","title":"Foreign Direct Investment and World Pandemic Uncertainty Index: Do Health Pandemics Matter?","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Foreign direct investment; Estimation; Index (typography); Panel data; Economics; Coronavirus disease 2019 (COVID-19); Econometrics; Investment (military); Sample (material); Generalized method of moments; Macroeconomics; Computer science; Political science; Politics; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001156928,0.0002403496,0.0003867106,0.0008726952,0.0001753143,0.001193812,0.0001973771,0.0005136061,0.002007938],"category_scores_gemma":[0.007284649,0.00009242395,0.0004298966,0.00179479,0.0005155932,0.001180797,0.0006840709,0.0008288409,0.0001915169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007313465,"about_ca_system_score_gemma":0.0005728995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018111,"about_ca_topic_score_gemma":0.006897326,"domain_scores_codex":[0.9994466,0.0001907792,0.0000376242,0.00008246538,0.0001197094,0.0001228036],"domain_scores_gemma":[0.9945036,0.002990748,0.001757307,0.0001421923,0.0003272006,0.0002789678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000101518,0.00003145243,0.9729039,0.00005091424,0.0002485119,0.0002293713,0.0001590328,0.01020178,0.000145596,0.002868898,0.001145484,0.01191354],"study_design_scores_gemma":[0.00001030299,0.0001108941,0.9700425,0.00008080147,0.0001851091,0.0001776232,0.001251883,0.01830437,0.0005208199,0.004359445,0.004924219,0.00003201497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830043,0.003941203,0.001418041,0.003099015,0.00006221918,0.00001573093,0.001619262,0.0000127902,0.006827447],"genre_scores_gemma":[0.9981432,0.0006511661,0.0001006298,0.00007269883,0.00003270733,0.000004029662,0.0005709071,0.000001939865,0.0004226502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018111,"threshold_uncertainty_score":0.0202437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387164538848608,"score_gpt":0.2465210396387369,"score_spread":0.2226493942502508,"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."}}