{"id":"W4280586934","doi":"10.1016/j.pacfin.2022.101774","title":"Are Islamic banks more resilient to the crises vis-à-vis conventional banks? Evidence from the COVID-19 shock using stock market data","year":2022,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Islam; Coronavirus disease 2019 (COVID-19); Business; Stock market; Quarter (Canadian coin); Monetary economics; Stock (firearms); Event study; Sample (material); Financial system; Economics; Medicine; Geography; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002735715,0.0004212435,0.000461887,0.0002011108,0.005013503,0.0009140443,0.002548586,0.00006546317,0.001181121],"category_scores_gemma":[0.001752808,0.0002905358,0.0002223241,0.001046795,0.0002530056,0.001335956,0.002088026,0.001018239,0.00009596441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384636,"about_ca_system_score_gemma":0.0002635869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009527158,"about_ca_topic_score_gemma":0.0003919121,"domain_scores_codex":[0.9962702,0.000211805,0.000738045,0.0007964849,0.001266736,0.0007167176],"domain_scores_gemma":[0.996579,0.0006249562,0.001217195,0.001285692,0.000279216,0.00001396475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003710844,0.0001195603,0.06823142,0.00006923786,0.00009978016,0.0001534443,0.0007221866,0.005695797,0.0000665022,0.0009966167,0.919156,0.004318417],"study_design_scores_gemma":[0.0007710556,0.00003895695,0.2522716,0.0005179449,0.000261324,0.000154053,0.004278122,0.01376715,0.000008060775,0.003565139,0.72372,0.0006466365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8875279,0.006300408,0.004839939,0.09472115,0.00384617,0.0009687402,0.0008769917,0.0001015454,0.0008170818],"genre_scores_gemma":[0.9787831,0.0004459345,0.0004755517,0.01601873,0.002989292,0.00007590945,0.00007848477,0.00005850114,0.001074501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195436,"threshold_uncertainty_score":0.9999547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08530369263814472,"score_gpt":0.3063877239695277,"score_spread":0.221084031331383,"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."}}