{"id":"W2988888649","doi":"10.5430/afr.v8n4p157","title":"Bank Competition, Efficiency, and Stability in Macau","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Insolvency; Financial system; Volatility (finance); Business; Sample (material); China; Economics; Per capita income; Market power; Chinese financial system; Per capita; Population; Monetary economics; Market economy; Finance; Monopoly","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":[0.005185071,0.0001166613,0.0002961677,0.0003429857,0.0002159914,0.0001480731,0.0001985712,0.0001099746,0.0001506799],"category_scores_gemma":[0.0004751334,0.0001345603,0.00002711329,0.0007948499,0.0003267556,0.0003062941,0.0001727111,0.0003749308,0.0001371799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153173,"about_ca_system_score_gemma":0.00004162172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007620198,"about_ca_topic_score_gemma":0.0001049971,"domain_scores_codex":[0.9981341,0.00005744115,0.0004725116,0.0006887516,0.0001230347,0.0005241304],"domain_scores_gemma":[0.9990048,0.0003422611,0.000111655,0.0003990727,0.0001134908,0.00002866865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008600873,0.0000719394,0.8364189,0.00008277279,0.000001545012,6.247226e-7,0.0005259246,0.00003987881,0.00003982949,0.1610499,0.00001415331,0.001745995],"study_design_scores_gemma":[0.0004515286,0.00006003405,0.9317813,0.00005101729,4.943043e-7,0.000002992495,0.0001545457,0.01385224,0.00004975179,0.04926172,0.004155293,0.000179115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879479,0.003126481,0.0001711184,0.0005045435,0.0001077468,0.000361254,0.00001966189,0.00002111744,0.007740213],"genre_scores_gemma":[0.9989988,0.0005578123,0.0002004217,0.00002354497,0.0000347162,0.00001886006,0.000004304824,0.00001376605,0.0001477999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1117882,"threshold_uncertainty_score":0.5487208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395292506215911,"score_gpt":0.2857098081096887,"score_spread":0.2461805574880976,"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."}}