{"id":"W4361801673","doi":"10.55365/1923.x2023.21.6","title":"Determinants of Business Resilience Framework for Small Businesses: Moderating Effects of Financial Literacy","year":2023,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Small business; Vulnerability (computing); Financial literacy; Psychological resilience; Resilience (materials science); Business; Structural equation modeling; Marketing; Literacy; Economic growth; Finance; Economics; Psychology; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0008091585,0.0002024027,0.001272213,0.0001956414,0.0000592849,0.00001683347,0.0002861357,0.0001311536,0.000004090786],"category_scores_gemma":[0.004354132,0.000230256,0.0001547497,0.0005655089,0.000114971,0.0002396408,0.000116044,0.00008627065,0.00000564509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003377849,"about_ca_system_score_gemma":0.0001428824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007665686,"about_ca_topic_score_gemma":0.000009209202,"domain_scores_codex":[0.997847,0.00001261603,0.001405858,0.0004219705,0.00001971212,0.0002928301],"domain_scores_gemma":[0.9969472,0.0008110693,0.001594454,0.0004457498,0.0001660226,0.00003554966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001347756,0.0002376778,0.06328841,0.1697599,0.00005575089,0.000006489728,0.0009504783,0.003457411,0.0001160638,0.5742626,0.0003752446,0.1873551],"study_design_scores_gemma":[0.002903016,0.0005980086,0.3956854,0.07278612,0.0001170161,0.00001594311,0.00001739686,0.1078079,0.004338995,0.3719527,0.04214642,0.001631113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9198743,0.07052251,0.007887039,0.0002165561,0.0003743097,0.000778761,0.0002677184,0.00001064541,0.00006812805],"genre_scores_gemma":[0.6285655,0.3626002,0.008282889,0.0003364435,0.00006317855,0.00006796376,0.000009787211,0.00002723842,0.00004685222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.332397,"threshold_uncertainty_score":0.9389567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729205497749433,"score_gpt":0.289669194745716,"score_spread":0.2523771397682217,"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."}}