{"id":"W4415968684","doi":"10.1109/iecon58223.2025.11221984","title":"A Multi-Stage Strategy for Harnessing Congestion Management Services from Industrial Hubs in Local and System-level Markets","year":2025,"lang":"","type":"article","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Flexibility (engineering); Dispatchable generation; Transmission (telecommunications); Operator (biology); Scheme (mathematics); Demand response; Transfer (computing); Decentralization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009114406,0.0005780532,0.0006583749,0.0002962174,0.0005055505,0.0009161085,0.001419449,0.0006793801,0.004382765],"category_scores_gemma":[0.0008964096,0.0003566732,0.0005309008,0.0003424129,0.0005937325,0.00134603,0.00127047,0.0007653587,0.0002168738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009287891,"about_ca_system_score_gemma":0.001482704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293276,"about_ca_topic_score_gemma":0.005492918,"domain_scores_codex":[0.9995539,0.0001793984,0.00001046299,0.00008903484,0.00007497743,0.00009222874],"domain_scores_gemma":[0.9996446,0.0001106782,0.00006500419,0.00004042362,0.00005389685,0.00008540453],"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":[0.00008502581,0.00007605676,0.0004523433,0.00003711316,0.00002739616,0.0001384663,0.00006421924,0.9519001,0.003306044,0.03008681,0.0007392566,0.01308716],"study_design_scores_gemma":[0.00002049417,0.00007196269,0.0001522666,0.000002406708,0.000008056546,0.00001540953,0.00001791163,0.9936964,0.0003527777,0.005182839,0.0004720574,0.000007403403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09166116,0.00008396925,0.8968624,0.0002692605,0.00002665992,0.0001538715,0.00007625986,0.0002396594,0.01062672],"genre_scores_gemma":[0.9662942,0.00004298873,0.03087466,0.00003143974,0.00001156173,0.00007227372,0.00002275981,0.00001704075,0.002633192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004382765,"threshold_uncertainty_score":0.01466179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04662332841830178,"score_gpt":0.2667679949274666,"score_spread":0.2201446665091648,"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."}}