{"id":"W2220495520","doi":"10.1016/j.jeca.2004.01.008","title":"The Growth of the World's 1000 and 500 Largest Banks","year":2004,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Asset (computer security); Econometrics; Monetary economics; Financial economics","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":[0.0008506739,0.0002013279,0.0001381601,0.001278975,0.000422309,0.003320469,0.0003279543,0.001330234,0.003809645],"category_scores_gemma":[0.006381732,0.0001916804,0.000229492,0.002358267,0.000709011,0.003883834,0.0007311016,0.001321489,0.00106658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564084,"about_ca_system_score_gemma":0.001064031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349448,"about_ca_topic_score_gemma":0.01859373,"domain_scores_codex":[0.9996313,0.00004480589,0.00002735546,0.0000654554,0.0001313424,0.00009972867],"domain_scores_gemma":[0.9964632,0.0005238479,0.00138832,0.0001228902,0.001182696,0.0003191636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008051406,0.0001224912,0.5076867,0.0002644166,0.0001278319,0.0009168682,0.002410262,0.008140416,0.002391181,0.2168609,0.1043803,0.1558935],"study_design_scores_gemma":[0.00004326251,0.00004878072,0.8130435,0.0002400256,0.00007869081,0.000749469,0.002533817,0.01035727,0.001736998,0.03357446,0.1375245,0.0000691575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919604,0.006817628,0.001459366,0.03086914,0.0004049847,0.0000143889,0.009218707,0.00008416576,0.0591712],"genre_scores_gemma":[0.9923074,0.001428412,0.0001847719,0.0004047669,0.0002312499,0.000004683598,0.001166466,0.00001170421,0.00426039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349448,"threshold_uncertainty_score":0.02683187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252093865089662,"score_gpt":0.2141489337594008,"score_spread":0.2016279951085042,"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."}}