{"id":"W4410103970","doi":"10.1007/978-3-031-88683-6_6","title":"Optimization of Regional Energy-Water Nexus System Under Multiple Uncertainties","year":2025,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Nexus (standard); Water energy; Energy (signal processing); Water-energy nexus; Environmental science; Computer science; Water resource management; Mathematics; Embedded system; Statistics","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":[0.0009264483,0.001017302,0.001542219,0.0004246791,0.0005016964,0.001907442,0.001215485,0.001800135,0.004868697],"category_scores_gemma":[0.001575901,0.0008052699,0.001077817,0.0007186545,0.0008398757,0.00100143,0.001271749,0.00103123,0.000403061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563827,"about_ca_system_score_gemma":0.00130624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01728224,"about_ca_topic_score_gemma":0.009251875,"domain_scores_codex":[0.9996606,0.0001621582,0.000008493233,0.00006999517,0.00004067718,0.00005808323],"domain_scores_gemma":[0.9996291,0.0002484938,0.00003945223,0.00001565239,0.00004592926,0.00002142907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001779326,0.000004953957,0.00006739215,0.0000175838,0.00001555297,0.00003046648,0.000007269155,0.9947833,0.0001620629,0.003176872,0.0004040392,0.001312694],"study_design_scores_gemma":[0.000009228858,0.00002219566,0.0001046125,0.00000486023,0.00001116835,0.000007917202,0.00001593696,0.9964575,0.0001146483,0.002807768,0.0004390944,0.000005071719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.188913,0.002776982,0.6829522,0.002635488,0.0002985595,0.0002075309,0.001267986,0.000516404,0.1204317],"genre_scores_gemma":[0.952636,0.0007348027,0.03271778,0.0001610711,0.00006224225,0.0001703922,0.0002603198,0.0001473146,0.01311007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01728224,"threshold_uncertainty_score":0.03436333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007399176657888704,"score_gpt":0.1535090131478426,"score_spread":0.1461098364899539,"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."}}