{"id":"W4229809652","doi":"10.36687/inetwp119","title":"Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1","year":2020,"lang":"en","type":"article","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for New Economic Thinking","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Welfare; Outbreak; 2019-20 coronavirus outbreak; Business; Disease; Work (physics); Economics; Infectious disease (medical specialty); Virology; Medicine; Geography; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001392302,0.000382121,0.0003348166,0.003515156,0.0003888402,0.001641345,0.0005623684,0.001137413,0.01221543],"category_scores_gemma":[0.01106206,0.0001367637,0.0007091056,0.00433206,0.0004882854,0.001190458,0.001129931,0.001230286,0.001215801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137854,"about_ca_system_score_gemma":0.0005413169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007927,"about_ca_topic_score_gemma":0.01654995,"domain_scores_codex":[0.9989713,0.0002861482,0.0001375571,0.0001506232,0.0002529137,0.0002014731],"domain_scores_gemma":[0.9686128,0.01176463,0.01685198,0.0004959384,0.001112392,0.001162282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007320884,0.0001808259,0.9860653,0.00006266555,0.0001691931,0.0001257228,0.0001506593,0.005900799,0.0001188306,0.001261041,0.001568983,0.004322701],"study_design_scores_gemma":[0.00001977281,0.0002025788,0.9796306,0.00003274879,0.00009708859,0.0001172142,0.0008382631,0.01425176,0.0002902651,0.002067416,0.002420356,0.00003197562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785069,0.0004763967,0.001773695,0.0009795093,0.0000204729,0.00006777039,0.01324972,0.00004718065,0.004878314],"genre_scores_gemma":[0.9908974,0.0001832669,0.0005083957,0.00007179325,0.00004112699,0.00006235229,0.006365263,0.000003273981,0.001867225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02007927,"threshold_uncertainty_score":0.04086471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1428492680986441,"score_gpt":0.3024641686858713,"score_spread":0.1596149005872272,"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."}}