{"id":"W4401404299","doi":"10.33423/jabe.v26i3.7140","title":"The Global Economic Recovery From COVID-19 Vaccinations","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Montclair State University","keywords":"Productivity; Computable general equilibrium; Gross domestic product; Coronavirus disease 2019 (COVID-19); Pandemic; Supply chain; Economic impact analysis; Economics; Vaccination; Economic recovery; Product (mathematics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Business; Development economics; Economic growth; Macroeconomics; Virology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009082565,0.0002911201,0.0003134945,0.0009665483,0.0003196351,0.001574018,0.0002052283,0.000618215,0.003800506],"category_scores_gemma":[0.003489584,0.0001011621,0.000518622,0.001755914,0.0006386851,0.001359982,0.001304722,0.00122528,0.0003877971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454554,"about_ca_system_score_gemma":0.0008907545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105111,"about_ca_topic_score_gemma":0.008068191,"domain_scores_codex":[0.9996799,0.00008382297,0.000009496662,0.00003495425,0.00006243796,0.0001293223],"domain_scores_gemma":[0.9993993,0.0002274046,0.0001650974,0.00003699964,0.0001100822,0.00006109519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001231822,0.0002956603,0.4380699,0.0006784249,0.0004489635,0.005407248,0.001708083,0.1487776,0.002299147,0.1496669,0.04825813,0.2031582],"study_design_scores_gemma":[0.00006158537,0.0005475263,0.7404475,0.0005929279,0.0002919208,0.0009941953,0.01076326,0.0522926,0.002182822,0.07053096,0.121194,0.0001006506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231265,0.003478197,0.002194407,0.01497033,0.0002905019,0.00003964804,0.004271979,0.00005439541,0.0515741],"genre_scores_gemma":[0.9935249,0.001855967,0.0002528735,0.0005327882,0.00006535845,0.0000113338,0.001311517,0.00001217742,0.002433094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105111,"threshold_uncertainty_score":0.02089983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292686417255002,"score_gpt":0.2540900786617802,"score_spread":0.22482143693628,"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."}}