{"id":"W4411787420","doi":"10.3390/jrfm18070355","title":"Arbitrage Returns on the MISO Exchange","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arbitrage; Economics; Monetary economics; Econometrics; Financial economics; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003122517,0.00006904254,0.0001064489,0.0001480355,0.00005716113,0.00002728454,0.00009534623,0.00003037427,0.000007179556],"category_scores_gemma":[0.00003559334,0.000047385,0.00004018607,0.0002176921,0.000008015235,0.00004059073,0.00001581333,0.0001865967,0.000002275123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004019857,"about_ca_system_score_gemma":0.000006225699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002298936,"about_ca_topic_score_gemma":0.000005827006,"domain_scores_codex":[0.9995371,0.00002454653,0.000191333,0.00004793507,0.000103674,0.00009542265],"domain_scores_gemma":[0.9997621,0.00004536128,0.00006337189,0.00008812288,0.00002252258,0.00001859262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001951372,0.0001484842,0.002316077,0.0007398803,0.0003012302,0.0002221733,0.002590091,0.02647256,0.0000852302,0.1148341,0.2052539,0.6468412],"study_design_scores_gemma":[0.002016636,0.0003521249,0.07073294,0.0009657337,0.0003636139,0.00002391943,0.0003968136,0.01215014,0.0007168615,0.01229389,0.8995844,0.0004029885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1537267,0.01080938,0.732452,0.00114449,0.00351092,0.0006426001,0.000008588288,0.00008844925,0.09761684],"genre_scores_gemma":[0.9933366,0.00561408,0.0004250224,0.0001529704,0.000107262,0.000003969404,2.300569e-7,0.00000656434,0.0003533642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8396099,"threshold_uncertainty_score":0.1932304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003359225501558689,"score_gpt":0.1774044212125378,"score_spread":0.1740451957109792,"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."}}