{"id":"W1967496564","doi":"10.1002/nav.20185","title":"Stochastic programming models for replication of electricity forward contracts for industry","year":2006,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Electric Power System Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Forward contract; Spot market; Spot contract; Arbitrage; Procurement; Electricity; Stochastic programming; Electricity market; Economics; Forward price; Database transaction; Microeconomics; Forward market; Computer science; Operations research; Industrial organization; Mathematical optimization; Futures contract; Financial economics","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":[0.002199807,0.0001615159,0.0002916933,0.0003174338,0.0001367194,0.00006395482,0.0002854776,0.0003991913,0.000001551862],"category_scores_gemma":[0.003901637,0.0001716448,0.00007978923,0.0006843522,0.00007801133,0.0001366025,0.00002633573,0.0005032439,0.000001827571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991413,"about_ca_system_score_gemma":0.0001854648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170517,"about_ca_topic_score_gemma":0.00003366513,"domain_scores_codex":[0.9977186,0.00005871016,0.0005264189,0.0003640941,0.0005618379,0.0007703616],"domain_scores_gemma":[0.9966418,0.001394121,0.0001103775,0.0004679809,0.001284636,0.0001011561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000135754,0.000116901,0.00003797471,0.0004176102,0.00004644229,9.164954e-7,0.00003775588,0.9416116,0.00569906,0.03523836,0.0035094,0.01314818],"study_design_scores_gemma":[0.0006933491,0.0003333709,0.00004781012,0.00005016808,0.00002678034,0.000002972825,0.00001307284,0.9679548,0.01016699,0.01973728,0.0008100026,0.0001633856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003893364,0.0004065872,0.9914244,0.00004860119,0.0001044369,0.002708438,0.00008455981,0.0001727241,0.001156838],"genre_scores_gemma":[0.9774765,0.00001212416,0.0210053,0.000003640423,0.0002061638,0.0008516893,0.0001386095,0.00006113482,0.0002448492],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9735831,"threshold_uncertainty_score":0.6999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08350826714057481,"score_gpt":0.3584878418582603,"score_spread":0.2749795747176855,"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."}}