{"id":"W3212350470","doi":"10.3390/jrfm14110532","title":"Determinants of the Economic Vulnerability of Businesses to Pandemics and Similar Events","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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Vulnerability (computing); Business; Tourism; Government (linguistics); Revenue; Production (economics); Hospitality; Economics; Public economics; Development economics; Coronavirus disease 2019 (COVID-19); Industrial organization; Geography; Microeconomics; Finance; Computer security","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":[0.0005798662,0.0001411536,0.0002103864,0.0009332253,0.0004381995,0.001343512,0.0002280218,0.0006551863,0.004290418],"category_scores_gemma":[0.004664666,0.0001198443,0.0003125395,0.0008713935,0.0007294943,0.001142798,0.001231451,0.0009577742,0.0002286067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007330749,"about_ca_system_score_gemma":0.0003355318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005582053,"about_ca_topic_score_gemma":0.005452028,"domain_scores_codex":[0.9996533,0.00008417522,0.00002195498,0.00002555158,0.0000528221,0.0001622633],"domain_scores_gemma":[0.9950693,0.002144995,0.00179752,0.0001210645,0.0002420345,0.0006252466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001042215,0.0001561063,0.9409415,0.00006166196,0.0001247571,0.001081727,0.0006013602,0.02298195,0.0005412709,0.01937314,0.001326241,0.01270601],"study_design_scores_gemma":[0.000006455246,0.0001014425,0.9515091,0.00006832363,0.00004327621,0.000506226,0.005463032,0.01844507,0.0002906399,0.02015191,0.003383882,0.00003051734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867643,0.0004693463,0.001109451,0.001918672,0.00001178546,0.00003477076,0.00029002,0.000006634478,0.00939507],"genre_scores_gemma":[0.999203,0.0002281488,0.00006834973,0.00002535693,0.000009874134,0.000004075664,0.00007287069,8.55656e-7,0.0003874155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005582053,"threshold_uncertainty_score":0.01435292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206645435082732,"score_gpt":0.2535429016270211,"score_spread":0.2314764472761938,"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."}}