{"id":"W4407260368","doi":"10.1016/j.segan.2025.101643","title":"Coordinated operational optimization of water and power systems under emergency conditions","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"European Regional Development Fund; Horizon 2020 Framework Programme; Research and Innovation Foundation","keywords":"Power (physics); Environmental science; Computer science; Engineering; Physics; Thermodynamics","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":[0.001505631,0.0009334597,0.001331751,0.0005852289,0.0004982008,0.001959633,0.0009612665,0.001005594,0.002953198],"category_scores_gemma":[0.003891143,0.0006159231,0.0004373033,0.0007062386,0.0009301389,0.001491835,0.00120532,0.001022392,0.0001816355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339527,"about_ca_system_score_gemma":0.001985031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009173848,"about_ca_topic_score_gemma":0.008468519,"domain_scores_codex":[0.9990483,0.0004399075,0.00002783877,0.0001196922,0.0001299269,0.0002343472],"domain_scores_gemma":[0.9985123,0.0008975355,0.0002296327,0.00006388929,0.0001828169,0.0001138229],"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":[0.00006585802,0.00002516216,0.0002573179,0.00001270655,0.00002115381,0.00003496679,0.00001511593,0.9927996,0.0002039868,0.003219411,0.0003687329,0.002976032],"study_design_scores_gemma":[0.00001487368,0.00004116848,0.0002508921,0.000002614584,0.00000859287,0.000005431765,0.00004077283,0.9956701,0.0001411501,0.003628923,0.0001915006,0.000003861831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.412007,0.00075266,0.5490115,0.002344107,0.0001849032,0.0002873677,0.0007442472,0.0004941107,0.03417397],"genre_scores_gemma":[0.9942045,0.00006713541,0.004508446,0.00002992371,0.0000129854,0.00004283215,0.00006264338,0.00002418374,0.001047375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009173848,"threshold_uncertainty_score":0.01824087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003294216197736577,"score_gpt":0.1958798305562235,"score_spread":0.192585614358487,"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."}}