{"id":"W4410595203","doi":"10.1016/j.est.2025.117140","title":"Soft computing optimization of a renewable energy-integrated multigeneration system with liquid air energy storage","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Renewable energy; Energy storage; Environmental science; Process engineering; Computer science; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002653944,0.0002679809,0.000609255,0.0004202816,0.0001088582,0.00003491551,0.0002541603,0.00016181,0.00001237916],"category_scores_gemma":[0.00001524648,0.0002190594,0.0001823164,0.000488317,0.00003945527,0.0001837299,0.00002353996,0.0001288783,2.031339e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747863,"about_ca_system_score_gemma":0.0001561624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863863,"about_ca_topic_score_gemma":0.000320355,"domain_scores_codex":[0.998312,0.0001066568,0.0008547834,0.0001687968,0.000309001,0.0002487761],"domain_scores_gemma":[0.9987253,0.00005919772,0.0004464976,0.0002349405,0.0004337854,0.0001003062],"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":[0.0002017456,0.00004503788,0.00001495553,0.0000965545,0.0003667567,0.00003117311,0.0001032845,0.9896156,0.005107184,0.002755024,0.001098864,0.0005637793],"study_design_scores_gemma":[0.0006816235,0.0002165389,0.00001299693,0.0007505802,0.0001257761,0.00004422079,0.0005124176,0.9888222,0.005547571,0.000009564303,0.003062992,0.0002134909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01875239,0.00203927,0.9748414,0.00001304613,0.0007690276,0.00002387815,0.000005372526,0.0001022681,0.003453389],"genre_scores_gemma":[0.9958803,0.0001068482,0.002407094,0.00003921925,0.0002298389,0.00000295103,0.00002721213,0.00004264523,0.001263855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.977128,"threshold_uncertainty_score":0.8932983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003898535354297938,"score_gpt":0.1900051697239938,"score_spread":0.1861066343696959,"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."}}