{"id":"W4406644340","doi":"10.5539/ibr.v18n1p30","title":"Towards Early Critical Warnings of Lebanese Banks: An Analytical CAMELS Study","year":2025,"lang":"en","type":"article","venue":"International Business Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":[0.001731453,0.0001136768,0.0003205342,0.00104268,0.0001217121,0.0001591853,0.0007373876,0.00008031962,0.0004761993],"category_scores_gemma":[0.002518262,0.0001241117,0.00006795175,0.001167599,0.0002288006,0.0004300064,0.0002901572,0.0003013668,0.0002251943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543222,"about_ca_system_score_gemma":0.00008645641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003329874,"about_ca_topic_score_gemma":0.00006997182,"domain_scores_codex":[0.9982632,0.00005213876,0.0006080385,0.0004499301,0.0002917217,0.0003349111],"domain_scores_gemma":[0.998228,0.0001884835,0.00007661594,0.0003536214,0.001097155,0.00005614711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001439077,0.001110352,0.5530719,0.00005910781,0.00009531675,0.00003905188,0.0008213111,0.00003977088,0.00001272863,0.438368,0.0007817546,0.005456849],"study_design_scores_gemma":[0.0004749612,0.0001361868,0.9618034,0.00004143388,0.000004366676,5.709228e-7,0.000223223,0.001323469,0.00002591829,0.02353904,0.01231354,0.0001138521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294776,0.0002175502,0.002401028,0.003245325,0.0006836793,0.0002963486,0.00006273489,0.00002046445,0.06359529],"genre_scores_gemma":[0.9966483,0.00008046087,0.0001112018,0.00007275991,0.0001487635,0.00005800118,0.00001213889,0.00001274494,0.002855664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4148289,"threshold_uncertainty_score":0.5214049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09579535042371323,"score_gpt":0.3992443230844916,"score_spread":0.3034489726607784,"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."}}