{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494089,0.0002078266,0.0006795507,0.000462175,0.0001732247,0.0001125957,0.0001446428,0.00007861089,0.00004501138],"category_scores_gemma":[0.000188808,0.0002095884,0.0001227855,0.0003884934,0.0000695331,0.0002020206,0.0001827055,0.0003602268,0.0000116533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000315386,"about_ca_system_score_gemma":0.00009975518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002423515,"about_ca_topic_score_gemma":0.0002608521,"domain_scores_codex":[0.9981449,0.0000561978,0.0009870996,0.0003397575,0.00009982369,0.0003722474],"domain_scores_gemma":[0.9983954,0.0001228778,0.0009631744,0.0002297053,0.00004955514,0.0002392807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008241073,0.00008478084,0.8851993,0.0001579585,0.00007745031,0.0000616742,0.0007546574,0.0002886998,8.428785e-7,0.04785497,0.005627827,0.05980944],"study_design_scores_gemma":[0.001862982,0.0001318251,0.5259703,0.0001683993,0.0000395537,0.00005479463,0.0002944693,0.0001667169,0.000002464997,0.1160715,0.3549628,0.0002740761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.857403,0.06221512,0.04207505,0.002389996,0.001596557,0.0007712883,0.0002601388,0.00004748775,0.03324135],"genre_scores_gemma":[0.9643643,0.02859434,0.0009891922,0.005198782,0.0002036088,0.000006120898,0.000003791498,0.00002073877,0.0006191251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3592289,"threshold_uncertainty_score":0.8546767,"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."}}