{"id":"W4402411836","doi":"10.1007/s43621-024-00438-5","title":"Unveiling economic resilience: exploring the impact of financial vulnerabilities on economic volatility through the economic vulnerability index","year":2024,"lang":"en","type":"article","venue":"Discover Sustainability","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regent College","funders":"","keywords":"Vulnerability (computing); Index (typography); Volatility (finance); Resilience (materials science); Vulnerability index; Economic impact analysis; Natural resource economics; Business; Economics; Financial economics; Climate change; Computer science; Computer security; Ecology","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":[0.001009281,0.0003468266,0.0003132952,0.00287453,0.0003472178,0.001859698,0.000283937,0.000421936,0.001841896],"category_scores_gemma":[0.005870991,0.0001139467,0.0004822391,0.002472325,0.000703321,0.002160298,0.001856864,0.0009677178,0.0001579791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544981,"about_ca_system_score_gemma":0.0007143036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485174,"about_ca_topic_score_gemma":0.002190233,"domain_scores_codex":[0.9995213,0.0001465642,0.0000459861,0.00005313071,0.0001419679,0.00009111712],"domain_scores_gemma":[0.9959224,0.001892866,0.00134103,0.0001636448,0.0004100064,0.0002700722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007905236,0.00008351719,0.9335589,0.0001199321,0.0003566939,0.0005303489,0.001168387,0.01487213,0.0009946285,0.02142181,0.001198341,0.02561627],"study_design_scores_gemma":[0.000004044741,0.0001325808,0.9215172,0.0001574989,0.000149647,0.0002657067,0.005530133,0.03782962,0.001186899,0.02932875,0.003835036,0.00006303324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846682,0.0005656406,0.005288715,0.0007555009,0.00002461921,0.00002700557,0.0004826357,0.00001696469,0.008170646],"genre_scores_gemma":[0.9990126,0.0001892707,0.0004594758,0.00001773609,0.00001111273,0.000007886691,0.0001166767,0.000001892099,0.0001834209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00287453,"threshold_uncertainty_score":0.006161749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0351790535924175,"score_gpt":0.300526826680339,"score_spread":0.2653477730879215,"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."}}