{"id":"W2604716586","doi":"10.6084/m9.figshare.4809970.v1","title":"Empirical Evidence of International Fisher Effect in Bangladesh with India and China","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International Fisher effect; Casual; China; Exchange rate; Economics; Fisher hypothesis; Empirical evidence; Quarter (Canadian coin); Econometrics; Interest rate; Differential (mechanical device); Real interest rate; Macroeconomics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008594315,0.0001667016,0.000229986,0.001314037,0.0005942786,0.0007009406,0.0001963992,0.0002273726,0.005242961],"category_scores_gemma":[0.00461936,0.00008113204,0.0002726304,0.002393152,0.001096894,0.0006539315,0.0009630779,0.0004208022,0.0003119804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008660759,"about_ca_system_score_gemma":0.0007192159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05122869,"about_ca_topic_score_gemma":0.05679242,"domain_scores_codex":[0.9995143,0.0001075118,0.00003393011,0.00009153576,0.0001223163,0.0001303443],"domain_scores_gemma":[0.9937965,0.002388236,0.002254213,0.0002859619,0.0006637989,0.0006113348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004062923,0.00001351492,0.9917576,0.00001209682,0.00002974861,0.000293753,0.0009581466,0.0001379862,0.0001125377,0.001679578,0.0004180772,0.00454644],"study_design_scores_gemma":[0.000004165312,0.00002912523,0.9927718,0.00001948662,0.00002661805,0.0001463144,0.004447955,0.0003584375,0.0001520012,0.0004619012,0.001575113,0.000007169009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908217,0.0001732399,0.0001284674,0.0003343969,0.000004925817,0.000004648821,0.0002411889,0.000004856558,0.008286459],"genre_scores_gemma":[0.9993345,0.00007517926,0.00002880068,0.00001238246,0.000002640038,0.000001376306,0.0001010483,9.621141e-7,0.0004430205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05122869,"threshold_uncertainty_score":0.1018611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116584157830152,"score_gpt":0.2582148869528791,"score_spread":0.2465564711698639,"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."}}