{"id":"W2971566704","doi":"10.5267/j.msl.2019.8.036","title":"Does banking market power matter on financial stability?","year":2019,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vietnamese; Financial stability; Stability (learning theory); Lerner index; Panel data; Index (typography); Economics; Order (exchange); Market power; Loan; Competition (biology); Financial market; Financial system; Measure (data warehouse); Business; Econometrics; Finance; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108229,0.0001092687,0.0002683695,0.000717869,0.0002924992,0.001418877,0.0001987104,0.0004480059,0.004249746],"category_scores_gemma":[0.005736096,0.00009229343,0.0002239892,0.0007970363,0.0009958597,0.001234051,0.000417949,0.0004541955,0.0003402287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000567389,"about_ca_system_score_gemma":0.0004635646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007285411,"about_ca_topic_score_gemma":0.006438066,"domain_scores_codex":[0.9995317,0.0001598318,0.00003301901,0.000104033,0.00006122531,0.0001101806],"domain_scores_gemma":[0.9928992,0.003094547,0.002548247,0.0001588865,0.0005074834,0.0007916568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000952465,0.0000604006,0.9838963,0.00002967621,0.00009841832,0.00022359,0.0004698303,0.0008224539,0.0002616414,0.002386224,0.0005179937,0.01113829],"study_design_scores_gemma":[0.000004735607,0.00005229235,0.9949623,0.0000223864,0.00002650793,0.00005514252,0.0008740288,0.001662279,0.0001333537,0.001351724,0.0008495814,0.00000563204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924452,0.0009845268,0.0002944519,0.001501665,0.00001998673,0.000006520277,0.0001621262,0.000005022456,0.004580561],"genre_scores_gemma":[0.9995531,0.0001429253,0.00001209078,0.00004083877,0.00002075342,7.173226e-7,0.00004150583,0.000001058238,0.0001869699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007285411,"threshold_uncertainty_score":0.01448601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008815462989281028,"score_gpt":0.196600631182648,"score_spread":0.1877851681933669,"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."}}