{"id":"W1876537474","doi":"10.1108/ijmf-10-2014-0161","title":"Intraday analysis of currency ETFs","year":2015,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Arbitrage; Currency; Economics; Value (mathematics); Monetary economics; Financial economics; Business; Finance; Mathematics","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":[0.002922604,0.0002681429,0.000382271,0.001990619,0.0002392802,0.001666224,0.0004087877,0.0003979537,0.001797724],"category_scores_gemma":[0.0202861,0.0001195183,0.0003735147,0.002546964,0.000300214,0.001530959,0.0005780606,0.0006721091,0.000356321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006659276,"about_ca_system_score_gemma":0.0002514556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878115,"about_ca_topic_score_gemma":0.0007506147,"domain_scores_codex":[0.9980552,0.0003386244,0.0002150905,0.0002912729,0.0009982411,0.0001015727],"domain_scores_gemma":[0.9866671,0.005808641,0.00342735,0.001165639,0.002745659,0.0001857121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001706679,0.0001883116,0.7160308,0.0002959233,0.000344594,0.001360447,0.001322626,0.04984289,0.01109839,0.02153372,0.003164663,0.1931109],"study_design_scores_gemma":[0.00002096705,0.000506022,0.7983954,0.00007852006,0.00009708554,0.001434961,0.001068825,0.1704967,0.01006642,0.007892849,0.009848961,0.00009333313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825646,0.0005387478,0.009818132,0.0001739017,0.00004467239,0.00002220234,0.0007714807,0.00009499756,0.005971354],"genre_scores_gemma":[0.996779,0.0001214305,0.001621111,0.00001191191,0.00002456933,0.000007979939,0.0005098633,0.00001692969,0.0009070605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002922604,"threshold_uncertainty_score":0.01545644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255157303905205,"score_gpt":0.2566640293477647,"score_spread":0.2141124563087126,"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."}}