{"id":"W3205220511","doi":"10.1016/j.jeca.2021.e00228","title":"Stock market comovements: Evidence from the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Economics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Stock market; Stock (firearms); Financial economics; Econometrics; Geography; Virology; Medicine; Internal medicine; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005793123,0.0001847303,0.0005443407,0.0001055833,0.0002969728,0.0001762983,0.0009052232,0.00008593075,0.003592669],"category_scores_gemma":[0.00302828,0.000131136,0.0002498027,0.0002128521,0.0001960832,0.0004224743,0.0002354058,0.0004110916,0.0000619377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005200258,"about_ca_system_score_gemma":0.0003105145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079218,"about_ca_topic_score_gemma":0.0008889001,"domain_scores_codex":[0.9979249,0.000239142,0.00126255,0.0002431276,0.00006745606,0.0002628622],"domain_scores_gemma":[0.9935392,0.004125439,0.001411385,0.0006889591,0.00007578571,0.0001592797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001908989,0.00003267833,0.9587154,0.00001298002,0.0002875118,0.000005754994,0.0005174631,0.000128549,0.000005826291,0.004105243,0.03524496,0.0007527302],"study_design_scores_gemma":[0.001929597,0.0001878851,0.4388187,0.00008378547,0.000147018,0.00020188,0.001613829,0.02123325,0.00004193193,0.2183439,0.3168305,0.0005677117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927335,0.03044189,0.01334587,0.01772472,0.001760068,0.0002436335,0.0005873898,0.00001809903,0.008543313],"genre_scores_gemma":[0.9869407,0.007095411,0.0002890897,0.003680566,0.0003532293,0.000003207583,0.000006012898,0.00002050511,0.001611253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5198967,"threshold_uncertainty_score":0.9973182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09403033297582472,"score_gpt":0.2910746966195707,"score_spread":0.197044363643746,"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."}}