{"id":"W36751344","doi":"10.1007/978-3-642-37192-9_20","title":"On the Utility of Trading Criteria Based Retraining in Forex Markets","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Retraining; Foreign exchange market; Business; Foreign exchange; Computer science; Financial economics; Economics; Monetary economics; International trade","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004217525,0.0003866378,0.0005231334,0.001071031,0.0001566198,0.0004649434,0.004213795,0.0002316223,0.001842358],"category_scores_gemma":[0.001236947,0.0002871652,0.0001093988,0.001069362,0.0008142229,0.0003490811,0.0007452373,0.0009906407,0.00001749097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159383,"about_ca_system_score_gemma":0.0005915734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001997088,"about_ca_topic_score_gemma":0.00001177608,"domain_scores_codex":[0.9956803,0.000213763,0.0007104207,0.001196248,0.001580045,0.0006191864],"domain_scores_gemma":[0.9943293,0.003287743,0.0002947246,0.001648307,0.0003071306,0.0001327668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003246608,0.000111054,0.00005855309,0.0001576467,0.00001592148,0.0000980734,0.001478751,0.00646077,0.0001089482,0.02615635,0.001426167,0.9638953],"study_design_scores_gemma":[0.0001944837,0.00008227082,0.0005784558,0.0003803164,0.000001577288,0.000006049191,2.010733e-7,0.9219571,0.0004706399,0.07601691,0.00006980405,0.0002422192],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000100317,0.00005620367,0.971869,0.001298473,0.0006605418,0.0005983989,0.000005565765,0.00004424613,0.02536726],"genre_scores_gemma":[0.5927168,0.000006095217,0.4062785,0.000781447,0.00006703324,0.00001414032,0.000002095526,0.0000200416,0.0001138781],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9636531,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04844003244427145,"score_gpt":0.2936856222458886,"score_spread":0.2452455898016172,"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."}}