{"id":"W1531697403","doi":"","title":"Banking and Insurance Services Liberalization and Development in Bangladesh, Nepal, and Malaysia: A Comparative Analysis","year":2007,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Liberalization; Business; Economic growth; Service (business); Trade in services; Development economics; International trade; Free trade; Economics; Market economy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005368998,0.0002018259,0.000294237,0.003282862,0.0005924806,0.001807109,0.0002633106,0.0004544491,0.003532328],"category_scores_gemma":[0.001764114,0.0001944399,0.0003122012,0.007957755,0.001053012,0.001506897,0.001368361,0.000483211,0.0002828683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002801294,"about_ca_system_score_gemma":0.001382413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03259113,"about_ca_topic_score_gemma":0.07080721,"domain_scores_codex":[0.999557,0.0001393835,0.00002783606,0.00003936021,0.00007476973,0.0001616536],"domain_scores_gemma":[0.9985061,0.000724167,0.000361585,0.00004388051,0.0002181349,0.0001460047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007325333,0.0003481376,0.795682,0.001205141,0.0003666044,0.005759916,0.02329278,0.005517623,0.002502958,0.06134072,0.002302062,0.1009494],"study_design_scores_gemma":[0.00002030776,0.0002195534,0.9522329,0.0002560086,0.00012768,0.001135535,0.03434422,0.001117671,0.0008117462,0.001246464,0.00845951,0.00002841322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804114,0.001779316,0.0001075759,0.0002190344,0.000001844215,0.0000168602,0.0003901054,0.000003303893,0.0170705],"genre_scores_gemma":[0.9967163,0.0021935,0.00007764032,0.00002370849,0.000001737054,0.000006984311,0.0002131054,0.000001162789,0.0007657853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03259113,"threshold_uncertainty_score":0.06480289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366659600120347,"score_gpt":0.2443585174037225,"score_spread":0.2206919214025191,"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."}}