{"id":"W4382135378","doi":"10.3390/jrfm16070307","title":"Investigating the Nexus between Corporate Governance and Firm Performance in India: Evidence from COVID-19","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accounting; Corporate governance; Nexus (standard); Audit committee; Business; Panel data; Coronavirus disease 2019 (COVID-19); Sample (material); Audit; Attendance; Economics; Finance; Medicine; Econometrics; Economic growth; Engineering; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002208805,0.0001428184,0.000381631,0.0002380152,0.0001945096,0.0000895792,0.000267183,0.00007298322,0.000009813332],"category_scores_gemma":[0.001938571,0.0001248811,0.00004815697,0.0006491191,0.0001144962,0.0004098794,0.0002131045,0.0003801908,0.00002331118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762875,"about_ca_system_score_gemma":0.00006957618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005860146,"about_ca_topic_score_gemma":0.00006357423,"domain_scores_codex":[0.9986264,0.00004031042,0.0007288242,0.0002422324,0.0001002476,0.0002620347],"domain_scores_gemma":[0.9978112,0.0005543833,0.001288272,0.0001758362,0.00001815685,0.0001521713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000214945,0.000007013988,0.9716064,0.00007331711,0.0000151595,0.00003605054,0.002244543,0.0005449681,9.582914e-7,0.002634299,0.0006708154,0.02214501],"study_design_scores_gemma":[0.0007096242,0.00007298111,0.9380973,0.0001770628,0.00001938345,0.000003151953,0.0001419724,0.0009139597,0.000002471088,0.03854334,0.02118378,0.0001349794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916455,0.004503207,0.001837154,0.001332199,0.0002653326,0.0001867563,0.00007669014,0.00001152746,0.0001416919],"genre_scores_gemma":[0.9754152,0.02322506,0.0002942059,0.0007833384,0.0002064844,0.00000619406,0.00000182967,0.00001081826,0.00005690234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03590904,"threshold_uncertainty_score":0.5092504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07249857078359707,"score_gpt":0.2612428091085685,"score_spread":0.1887442383249714,"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."}}