{"id":"W1976781452","doi":"10.1115/1.1325406","title":"Thermodynamic Performance of Ice Thermal Energy Storage Systems","year":2000,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; King Fahd University of Petroleum and Minerals","keywords":"Exergy; Exergy efficiency; Environmental science; Process engineering; Efficient energy use; Thermal energy storage; Energy storage; Energy (signal processing); Thermal energy; Energy analysis; Nuclear engineering; Computer science; Thermodynamics; Engineering; Mathematics; Statistics; Physics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001510548,0.0001603467,0.0003940676,0.000439297,0.00003819602,0.00001331218,0.0004351518,0.0002561552,0.00009152458],"category_scores_gemma":[0.000007329372,0.0001335022,0.00009931556,0.000354213,0.00009189022,0.00009297507,0.00001751335,0.0002276973,0.000005163988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005576575,"about_ca_system_score_gemma":0.00001596525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002626684,"about_ca_topic_score_gemma":0.000005016415,"domain_scores_codex":[0.9988273,0.00004185846,0.0005981423,0.00009348718,0.0002132351,0.0002259764],"domain_scores_gemma":[0.9993197,0.00003417845,0.000247506,0.0002566212,0.00008999219,0.00005201252],"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":[0.0001175724,0.00006090455,0.0007144498,0.00009463244,0.0002523556,0.00004571908,0.0002052908,0.8757654,0.06055243,0.003429438,0.0001981521,0.05856363],"study_design_scores_gemma":[0.001261273,0.0008542932,0.0009894939,0.000547139,0.00007957342,0.001287243,0.0005210781,0.6390144,0.01304907,0.0001166021,0.3417267,0.0005532173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859896,0.004546795,0.001740035,0.00003022798,0.0002949694,0.00001763883,0.000001763547,0.00014752,0.007231445],"genre_scores_gemma":[0.9976962,0.0007438359,0.00004427216,0.00001480619,0.000191682,0.000004388325,6.658366e-7,0.00003625859,0.001267848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3415285,"threshold_uncertainty_score":0.5444061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003395448310936373,"score_gpt":0.1700464509153119,"score_spread":0.1666510026043755,"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."}}