{"id":"W4280586385","doi":"10.1016/j.frl.2022.102943","title":"Investment, Q and epidemic diseases","year":2022,"lang":"en","type":"article","venue":"Finance research letters","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Investment (military); Epidemic disease; Pandemic; Coronavirus disease 2019 (COVID-19); Disease; Estimation; Economics; Epidemic model; Investment strategy; Business; Monetary economics; Virology; Medicine; Infectious disease (medical specialty); Environmental health; Political science; Internal medicine; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006959648,0.0001174429,0.0001495805,0.0002211335,0.0007428044,0.0001195965,0.0003388625,0.00001528196,0.0001590775],"category_scores_gemma":[0.0001664451,0.000122166,0.00004168211,0.0009073579,0.0001843945,0.0006929453,0.0005760622,0.0003868639,0.0001610218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009142751,"about_ca_system_score_gemma":0.00003825536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005970663,"about_ca_topic_score_gemma":0.00001910245,"domain_scores_codex":[0.9983228,0.00004420958,0.000158041,0.0003834321,0.0005717867,0.0005197222],"domain_scores_gemma":[0.9994423,0.00008556162,0.000116905,0.0002877326,0.00005378492,0.00001373217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007666618,0.0000752765,0.2508878,0.0001001987,0.000009220404,0.0001668595,0.00002806446,0.0003842221,0.001276203,0.0384221,0.7036933,0.004879996],"study_design_scores_gemma":[0.0003101047,0.00001308196,0.2939911,0.00001779086,0.000004439222,0.000002462992,0.00003140324,0.0005580147,0.000006506729,0.003458036,0.701471,0.0001360396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758515,0.0009108247,0.00004939293,0.02044853,0.000195677,0.0002868731,0.00003510906,0.00005744269,0.002164594],"genre_scores_gemma":[0.9766102,0.0001419868,0.00003986002,0.02143084,0.0005411364,0.0002663534,0.00002410438,0.00002399206,0.0009215609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04310323,"threshold_uncertainty_score":0.5713126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391823439321344,"score_gpt":0.2834479057589799,"score_spread":0.2295296713657665,"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."}}