{"id":"W4281722850","doi":"10.1177/10422587221104820","title":"Act or Wait-and-See? Adversity, Agility, and Entrepreneur Wellbeing across Countries during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Entrepreneurship Theory and Practice","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Agencia Estatal de Investigación; Junta de Andalucía; Agence Nationale de la Recherche; Danmarks Tekniske Universitet; Vetenskapsrådet; European Regional Development Fund; European Commission; Australian Research Council; Université de Montpellier; King's College London; Corporación de Fomento de la Producción; Universitetet i Stavanger; Bundesministerium für Bildung und Forschung; Technische Universität Dresden; Japan Society for the Promotion of Science; University of Waikato; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Consejería de Transformación Económica, Industria, Conocimiento y Universidades","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Psychological resilience; Perspective (graphical); Business; Resilience (materials science); Psychology; Function (biology); Entrepreneurship; 2019-20 coronavirus outbreak; Economic growth; Social psychology; Economics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002032339,0.000176963,0.0002798644,0.0004385978,0.0008909947,0.001984353,0.0002434614,0.0005757822,0.002815371],"category_scores_gemma":[0.006858274,0.0001499941,0.000213338,0.0006826934,0.00161791,0.001398821,0.002275271,0.001222278,0.0001674618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007802344,"about_ca_system_score_gemma":0.0005414851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008539562,"about_ca_topic_score_gemma":0.01424741,"domain_scores_codex":[0.9993078,0.0003479796,0.00001765655,0.00005193628,0.00002679119,0.000247875],"domain_scores_gemma":[0.9964578,0.001293638,0.001080628,0.0001464783,0.0001719911,0.0008495088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005315423,0.0002986156,0.9455002,0.00006629547,0.0001153092,0.0008977458,0.0110251,0.004571182,0.0002370243,0.009302016,0.002193197,0.02526183],"study_design_scores_gemma":[0.00002745138,0.0002359081,0.9014211,0.0002046976,0.0000672841,0.000270422,0.07315645,0.004396249,0.0001901322,0.01333028,0.006658579,0.00004146656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935773,0.0002895145,0.0003683105,0.00196163,0.00002207817,0.000008423204,0.00007636685,0.0000020987,0.003694325],"genre_scores_gemma":[0.99954,0.0001224437,0.00004150204,0.00006483575,0.000004977844,0.000004653048,0.0000203125,9.73025e-7,0.0002002798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008539562,"threshold_uncertainty_score":0.01697969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976778558139931,"score_gpt":0.3148568056941015,"score_spread":0.2550890201127021,"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."}}