{"id":"W2073088335","doi":"10.5958/2249-7323.2015.00049.8","title":"Pakistan's foreign exchange market efficiency: an empirical estimation","year":2015,"lang":"en","type":"article","venue":"Asian Journal of Research in Banking and Finance","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Foreign exchange; Foreign exchange market; Mathematics; Econometrics; Empirical research; Economics; Engineering; Statistics; Management; Monetary economics","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":[0.001902046,0.0004239076,0.0004037771,0.001474689,0.0003929455,0.001587284,0.0004593048,0.0004793603,0.007169805],"category_scores_gemma":[0.006942391,0.0002653133,0.0006379696,0.001544615,0.0007646038,0.001453415,0.0007396572,0.0009407538,0.0008069267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007487847,"about_ca_system_score_gemma":0.0009631192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008787656,"about_ca_topic_score_gemma":0.003266282,"domain_scores_codex":[0.9993555,0.0001810085,0.00006792088,0.0001139554,0.0001738866,0.0001076553],"domain_scores_gemma":[0.9895065,0.007318581,0.001823474,0.0002600424,0.0008343066,0.0002570278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009701289,0.0002479462,0.9574177,0.0001008549,0.0002056012,0.0007697561,0.0007190506,0.009939573,0.0002762602,0.005338147,0.001783936,0.02310419],"study_design_scores_gemma":[0.0000465975,0.0005679781,0.8858522,0.0001253168,0.0003186442,0.0007413336,0.003862634,0.09924846,0.001441274,0.003639085,0.004101538,0.00005494498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885161,0.0002808698,0.00340162,0.0002810981,0.000008630409,0.00007312322,0.0006503587,0.00002685101,0.006761481],"genre_scores_gemma":[0.9979975,0.0002185941,0.0005721053,0.0000171773,0.00002054007,0.00001719162,0.0004806623,0.000002747165,0.0006735129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008787656,"threshold_uncertainty_score":0.02398539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182753693977453,"score_gpt":0.3829934503450653,"score_spread":0.26471808094732,"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."}}