{"id":"W3203776851","doi":"10.1177/09726527211045759","title":"Competition and Banking Industry Stability: How Do BRICS and G7 Compare?","year":2021,"lang":"en","type":"article","venue":"Journal of Emerging Market Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University College of the North","funders":"","keywords":"Stability (learning theory); Capitalization; Economics; Competition (biology); Profitability index; Emerging markets; Inefficiency; Inflation (cosmology); Price of stability; Monetary economics; Monetary policy; Macroeconomics; Market economy; Finance; Biology","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":[0.001726485,0.0001515973,0.0004747222,0.0001737421,0.0001715523,0.0001953288,0.0001334783,0.0001223563,0.0002910431],"category_scores_gemma":[0.000625273,0.0001807166,0.00007979306,0.0004035308,0.0001427933,0.000447664,0.00009265306,0.0004677565,0.000001119389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089304,"about_ca_system_score_gemma":0.00006217392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051514,"about_ca_topic_score_gemma":0.0000146026,"domain_scores_codex":[0.9985549,0.00007066994,0.0007044441,0.0003342683,0.00009905047,0.0002366796],"domain_scores_gemma":[0.9984366,0.0001966381,0.0008311001,0.0002550839,0.0002187417,0.00006184786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003143396,0.0001396202,0.9335108,0.0001687099,0.00003763014,0.00002418311,0.0007411663,0.0002114271,0.00006027504,0.05769046,0.0006182019,0.006766035],"study_design_scores_gemma":[0.0007278278,0.00005780561,0.9211935,0.0002252236,0.00001574481,0.0001839648,0.0002952613,0.005300514,0.00009977931,0.03685958,0.03475405,0.0002867599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782584,0.01216162,0.003536288,0.00226894,0.0004928882,0.0000709724,0.00002605711,0.00001029171,0.003174506],"genre_scores_gemma":[0.9955198,0.001526679,0.002587986,0.00006728694,0.000121802,0.000001361364,0.00000184945,0.00001582577,0.0001574749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03413585,"threshold_uncertainty_score":0.7369407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524378091729319,"score_gpt":0.2283113207539544,"score_spread":0.2030675398366612,"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."}}