{"id":"W4408127141","doi":"10.1016/j.gfj.2025.101100","title":"Understanding drought shocks: Bank financial stability and loan performance","year":2025,"lang":"en","type":"article","venue":"Global Finance Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de Recherche du Québec-Société et Culture; Fonds de recherche du Québec","keywords":"Financial stability; Loan; Financial system; Economics; Stability (learning theory); Business; Finance; Monetary economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00135595,0.0002323706,0.0004545239,0.0001479714,0.0006739418,0.0002325543,0.000332541,0.0001698531,0.0001548703],"category_scores_gemma":[0.0003994291,0.0002654142,0.0001258424,0.000825548,0.0002598428,0.0005867255,0.0001206421,0.0003627413,0.00002907013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386777,"about_ca_system_score_gemma":0.0002073815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003560175,"about_ca_topic_score_gemma":0.00005954118,"domain_scores_codex":[0.9978957,0.00003443146,0.0009058017,0.000533141,0.00009843065,0.0005324834],"domain_scores_gemma":[0.999014,0.00005551073,0.000405535,0.0003686869,0.00008166211,0.00007463324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003968907,0.00008050215,0.6237969,0.00005451028,0.00001304769,0.000002421576,0.0001400025,0.0002482538,0.000003675603,0.3723154,0.0009570717,0.002348561],"study_design_scores_gemma":[0.0006870627,0.00007856937,0.7308277,0.00008716677,0.000008411944,0.00004257285,0.00004809465,0.00413821,0.00002841431,0.2538224,0.009971744,0.0002596575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929275,0.004191325,0.04409581,0.0009817681,0.00135328,0.0001943714,0.00009076836,0.00004002671,0.01977763],"genre_scores_gemma":[0.9976217,0.0008056739,0.001066112,0.0001814249,0.0001364303,0.000005430668,0.000002685079,0.000008915865,0.0001716963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.118493,"threshold_uncertainty_score":0.9999798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041047089037617,"score_gpt":0.238630892746046,"score_spread":0.1982204218556698,"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."}}