{"id":"W2133105916","doi":"10.1016/j.frl.2006.06.002","title":"Exchange rates and order flow in the long run","year":2006,"lang":"en","type":"article","venue":"Finance research letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Econometrics; Economics; Exchange rate; Order (exchange); Contrast (vision); Market microstructure; Monetary economics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.002092813,0.0001187898,0.0002217251,0.0003159312,0.0001764475,0.0001433836,0.0002980573,0.00006114456,0.00018426],"category_scores_gemma":[0.00009582146,0.0001084532,0.0000385719,0.0004081269,0.0001826549,0.0002860968,0.00006225346,0.0003539133,0.0004675595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007676136,"about_ca_system_score_gemma":0.000007923135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00517496,"about_ca_topic_score_gemma":0.0005026362,"domain_scores_codex":[0.998533,0.00007065976,0.0003264958,0.0003494955,0.0000534671,0.0006669149],"domain_scores_gemma":[0.9993749,0.0001904554,0.00006941635,0.0003268293,0.000007644106,0.00003072376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007754731,0.0002045738,0.6853967,0.0001614416,0.00003241826,0.0001728619,0.002998477,0.006794856,0.000103965,0.03659268,0.2599106,0.007553875],"study_design_scores_gemma":[0.0006357572,0.00005145717,0.8481703,0.00002384656,8.595385e-7,0.00001291049,0.00004462095,0.01444566,0.00003955307,0.009722454,0.1266142,0.0002383924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701329,0.003614215,0.0002500847,0.02027586,0.00007967424,0.0002691034,0.00005557771,0.000009071123,0.005313514],"genre_scores_gemma":[0.9960156,0.0007781615,0.0003472447,0.00165908,0.0002727909,0.0000660952,0.00001776947,0.00001570037,0.0008275437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1627737,"threshold_uncertainty_score":0.7823026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125979135221878,"score_gpt":0.2940391099238844,"score_spread":0.1814411964016966,"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."}}