{"id":"W4385577148","doi":"10.24818/jamis.2023.02001","title":"Stock market performance, COVID-19 related government measures, and immunization: Evidence from the G7","year":2023,"lang":"en","type":"article","venue":"Accounting and Management Information Systems","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Accounting; 2019-20 coronavirus outbreak; Business; Immunization; Stock market; Economics; Econometrics; Financial economics; Medicine; Virology; Internal medicine; Geography","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":[0.001489252,0.0002755049,0.0003363605,0.0009830676,0.0002639684,0.001070121,0.0003675368,0.0005676518,0.003124832],"category_scores_gemma":[0.004387445,0.0001030151,0.0006584991,0.001284602,0.0005934963,0.0007391213,0.0006581569,0.000568263,0.0004806061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004018055,"about_ca_system_score_gemma":0.0005559813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005627324,"about_ca_topic_score_gemma":0.005591534,"domain_scores_codex":[0.9993871,0.0001808014,0.00006341582,0.00007670673,0.0001764315,0.0001155013],"domain_scores_gemma":[0.9921555,0.001922171,0.004255657,0.0003328714,0.0007474422,0.0005863519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001817486,0.0001062559,0.9911412,0.00009414393,0.0002424999,0.0001181558,0.0001874005,0.00005926857,0.00007240866,0.0002843215,0.0005523724,0.006960174],"study_design_scores_gemma":[0.000008685711,0.0002409641,0.9977341,0.00005296025,0.0001179232,0.00009180447,0.0004798586,0.0001677277,0.0001144757,0.00009727151,0.0008888143,0.000005509744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941314,0.001952343,0.00005799385,0.0005166841,0.00001691815,0.00001762862,0.000982454,0.000003578123,0.002320995],"genre_scores_gemma":[0.9973958,0.0009789231,0.00004992076,0.0001502293,0.00004084639,0.000006929592,0.001042837,0.000001750632,0.0003326729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005627324,"threshold_uncertainty_score":0.01118916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04715562698276133,"score_gpt":0.2377061366052643,"score_spread":0.190550509622503,"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."}}