{"id":"W4200504295","doi":"10.3390/jrfm14120621","title":"Determinants of Bank M&amp;As in Central and Eastern Europe","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Profitability index; Market liquidity; Business; Financial system; Central bank; Chinese financial system; Quality (philosophy); Monetary economics; Economics; Finance; Monetary policy; Geography; China","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":[0.0007818301,0.0001147023,0.0001708111,0.001012036,0.000264059,0.001424392,0.0001786385,0.0002860269,0.001824949],"category_scores_gemma":[0.002780354,0.00009405975,0.0001264894,0.001838892,0.0005307184,0.0006114443,0.0008094083,0.0003558046,0.0001725576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273203,"about_ca_system_score_gemma":0.0003853912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004946789,"about_ca_topic_score_gemma":0.00561681,"domain_scores_codex":[0.99954,0.000101105,0.00006311105,0.00008880109,0.00009894099,0.0001081164],"domain_scores_gemma":[0.9940159,0.0007261137,0.004284474,0.0001458174,0.0003698927,0.0004577215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004896301,0.00002578937,0.9930764,0.0000124272,0.00002869559,0.0001257115,0.0003099053,0.0004808951,0.000350429,0.0007278175,0.0001958059,0.004617076],"study_design_scores_gemma":[0.000001695503,0.00001147833,0.9983611,0.000009937684,0.00000760177,0.000103168,0.000531414,0.0002631608,0.0001072407,0.0001111214,0.0004901582,0.000002099485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988592,0.000155448,0.00005902904,0.00005899932,0.000001140449,0.000001603641,0.00005725799,0.000001984009,0.0008053214],"genre_scores_gemma":[0.999683,0.00007243193,0.00002819106,0.000008392158,0.000002620362,7.576207e-7,0.00006239018,4.681341e-7,0.0001417339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004946789,"threshold_uncertainty_score":0.009836018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589463578504037,"score_gpt":0.2234425024901965,"score_spread":0.2075478667051562,"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."}}