{"id":"W4388539211","doi":"10.33423/jabe.v25i5.6510","title":"Accelerating Global Economic Recovery and Building Resilient Economies in the Post-COVID-19 Era","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Economic recovery; Coronavirus disease 2019 (COVID-19); Emerging markets; Global recession; Sample (material); Economics; Pandemic; Resilience (materials science); Restructuring; Development economics; Business; Macroeconomics; Finance","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":[0.001806715,0.0003177856,0.000242533,0.001743924,0.0008754965,0.003040608,0.0002894676,0.000817028,0.003178961],"category_scores_gemma":[0.004464661,0.00008897396,0.0003169626,0.001845858,0.001241687,0.003873952,0.002377027,0.001233584,0.0004529583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804947,"about_ca_system_score_gemma":0.002493981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005129298,"about_ca_topic_score_gemma":0.009380539,"domain_scores_codex":[0.9993698,0.0001756315,0.0000327674,0.00004230508,0.000140852,0.0002386457],"domain_scores_gemma":[0.9985292,0.0003197826,0.0004079744,0.00008696858,0.0004222232,0.0002338404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004649402,0.000318055,0.1809075,0.001861801,0.0002664458,0.002707942,0.005974316,0.01328023,0.003481711,0.2741303,0.06784053,0.4487664],"study_design_scores_gemma":[0.00003743391,0.000607637,0.39509,0.002362927,0.0001489326,0.0009797813,0.04940649,0.008065974,0.005313743,0.1780152,0.3598193,0.0001527215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6790463,0.0311968,0.0128011,0.1167009,0.001397803,0.0002098626,0.001891112,0.0002409659,0.1565153],"genre_scores_gemma":[0.9796692,0.01256591,0.002546175,0.001558155,0.0002002355,0.00003243472,0.0003213308,0.00002259873,0.003083957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005129298,"threshold_uncertainty_score":0.01309586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418977363428261,"score_gpt":0.266270663182349,"score_spread":0.224372926839523,"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."}}