{"id":"W3003984117","doi":"10.3390/jrfm13020022","title":"Risk Management Analysis for Novel Coronavirus in Wuhan, China","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Coronavirus disease 2019 (COVID-19); Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Risk management; Identification (biology); 2019-20 coronavirus outbreak; Business; Environmental planning; Pandemic; Warning system; Pneumonia; Risk assessment; Geography; Political science; Environmental health; Risk analysis (engineering); Environmental resource management; Medicine; Virology; Computer security; Computer science; Economics; Finance; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001440014,0.0001927168,0.0007442479,0.0002467498,0.0001396243,0.00002520059,0.000228026,0.00005872914,0.00001278464],"category_scores_gemma":[0.001377667,0.0001464709,0.0003401357,0.0006116132,0.00004345162,0.00007060754,0.000255323,0.0002485401,0.000001979065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008310153,"about_ca_system_score_gemma":0.000006690423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006674272,"about_ca_topic_score_gemma":0.0001259464,"domain_scores_codex":[0.9983149,0.00007941307,0.0008221138,0.0002675167,0.0002484399,0.0002676785],"domain_scores_gemma":[0.9984525,0.0005469001,0.0007071254,0.0001378179,0.00004967378,0.0001059701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001522669,0.0008670331,0.4295906,0.001074321,0.002356777,0.0002368625,0.002616686,0.004999327,0.000004241256,0.1311485,0.005555262,0.4200277],"study_design_scores_gemma":[0.002332086,0.0003435436,0.8286992,0.00005841533,0.002363745,9.280949e-7,0.0003265214,0.00134284,0.000002427385,0.09773427,0.06658117,0.0002148532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1795641,0.001007744,0.8172502,0.0009476995,0.000131234,0.000571952,0.00004829996,0.00001815161,0.0004606959],"genre_scores_gemma":[0.9235789,0.009413969,0.0660798,0.0006327657,0.0001956344,0.00002936366,0.000001230052,0.00001320641,0.00005511085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7511704,"threshold_uncertainty_score":0.5972908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269404159115593,"score_gpt":0.3672936014847726,"score_spread":0.2403531855732133,"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."}}