{"id":"W2287680234","doi":"","title":"دستیابی به قوانین مالی اصلح در چهارچوب گاتس: چارچوبی برای همکاری و رقابت در تدوین قوانین ذخیره قانونی بانک ها و افشاء اطلاعات در بازار بورس (Optimal Level of Financial Regulation Under the GATS: A Regulatory Competition and Cooperation Framework for Capital Adequacy and Disclosure of Information in Stock Market)","year":2006,"lang":"fa","type":"article","venue":"SSRN Electronic Journal","topic":"Global Financial Regulation and Crises","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Business; Competition (biology); Regulatory reform; Regulatory competition; Context (archaeology); Liberalization; Capital market; Capital requirement; Capital adequacy ratio; Accounting; Industrial organization; Economics; International economics; Finance; Corporate governance; Microeconomics; Market economy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002569277,0.0005176762,0.00092556,0.0005989893,0.0005735157,0.0002720075,0.000318859,0.0006376921,0.00009068279],"category_scores_gemma":[0.000431862,0.0005294681,0.0002927356,0.0006876906,0.0004190846,0.001683722,0.0000990668,0.001206872,0.000007614963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072586,"about_ca_system_score_gemma":0.00122601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004598354,"about_ca_topic_score_gemma":0.002414866,"domain_scores_codex":[0.9952935,0.0001483413,0.002298599,0.0005087036,0.0003149313,0.001435902],"domain_scores_gemma":[0.9967943,0.0002399693,0.002041911,0.0003805685,0.0004189352,0.0001242485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00090614,0.0002311935,0.01515639,0.0002031376,0.00009195933,6.30725e-7,0.000896793,0.007066164,0.0001150905,0.9658446,0.0004099904,0.009077901],"study_design_scores_gemma":[0.003551604,0.0009415058,0.5765966,0.0003304245,0.0001012831,0.00008126569,0.001927764,0.01166163,0.0001461785,0.4015646,0.002440451,0.0006567567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774145,0.006971154,0.1116736,0.00143125,0.0004901487,0.001091425,0.0005100952,0.00001748519,0.0004003275],"genre_scores_gemma":[0.9947689,0.002740756,0.001125382,0.0001177537,0.0004187647,0.00004448183,0.0001916234,0.0000475372,0.0005448149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.56428,"threshold_uncertainty_score":0.9997157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596175620992461,"score_gpt":0.2225260397488611,"score_spread":0.2065642835389365,"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."}}