{"id":"W3121440611","doi":"10.1016/j.jbankfin.2013.08.024","title":"Unintended consequences of the increased asset threshold for FDICIA internal controls: Evidence from U.S. private banks","year":2013,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; McMaster University","funders":"","keywords":"Asset (computer security); Unintended consequences; Business; Economics; Monetary economics; Political science; Computer science; Computer security; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000634563,0.0002032754,0.0004866828,0.00009309399,0.0001294757,0.0001838,0.0009551672,0.00007777262,0.0001082356],"category_scores_gemma":[0.0006982744,0.0001381604,0.0002685041,0.0003281626,0.0003328962,0.001814252,0.0001189344,0.0003074025,0.00001539307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005699798,"about_ca_system_score_gemma":0.0001324657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185471,"about_ca_topic_score_gemma":0.0001226461,"domain_scores_codex":[0.998253,0.00002047986,0.0008117168,0.0002069762,0.0004356616,0.0002721232],"domain_scores_gemma":[0.9956591,0.0002496518,0.003003001,0.0003094629,0.0007678341,0.00001099948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009957926,0.0001845482,0.8264391,0.0002508878,0.0002026197,0.00004590915,0.0001757738,0.0007440225,0.1038749,0.03215772,0.02403024,0.01089852],"study_design_scores_gemma":[0.001767175,0.00009163291,0.8997276,0.004287628,0.0001426152,0.00001494423,0.00003786947,0.002548225,0.007267959,0.06832992,0.01550572,0.0002787658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916843,0.001096651,0.002448819,0.003344327,0.0007767046,0.0003429961,0.00001971273,0.00001122572,0.0002752631],"genre_scores_gemma":[0.9969486,0.0001565198,0.0005962575,0.001460691,0.0007240332,0.00001683424,0.000001548051,0.00001855746,0.00007697244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09660695,"threshold_uncertainty_score":0.5634017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267220265602135,"score_gpt":0.2340352376750994,"score_spread":0.2073132111148859,"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."}}