{"id":"W4405624654","doi":"10.1016/j.rineng.2024.103792","title":"Enhanced energy storage density in thermal energy storage systems simultaneously heated with solar radiation and industrial waste heat","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal energy storage; Energy storage; Nuclear engineering; Waste heat; Environmental science; Solar energy; Radiation; Materials science; Waste management; Thermal; Process engineering; Mechanical engineering; Thermodynamics; Engineering; Electrical engineering; Physics; Optics; Heat exchanger","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002572952,0.0002794797,0.0003291969,0.0003955221,0.00002512421,0.0001157742,0.00008955713,0.0002347603,0.000001603662],"category_scores_gemma":[0.0000413719,0.0002727358,0.00002897081,0.0005280481,0.00001318677,0.000194691,0.00002038219,0.0003427137,0.000002118922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405523,"about_ca_system_score_gemma":0.00003179818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006670125,"about_ca_topic_score_gemma":0.0002088719,"domain_scores_codex":[0.998594,0.00005498849,0.0004496478,0.0003305662,0.0002059815,0.0003647505],"domain_scores_gemma":[0.9995016,0.0001590028,0.00002199471,0.0001977363,0.00002154473,0.0000980596],"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":[0.00007954551,0.000008823446,0.00001741234,0.0001358529,0.00003545426,0.0002040612,0.0006428584,0.9618782,0.03478349,0.0001268288,0.00002408711,0.002063351],"study_design_scores_gemma":[0.001126773,0.00004874587,0.0000612804,0.0007134545,0.000008189432,0.00003781072,0.0001228598,0.9868383,0.009226011,6.72127e-7,0.001500213,0.0003157089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096516,0.002437513,0.08566901,0.00001496253,0.001238217,0.0001677294,0.00002138986,0.0006053495,0.0001942409],"genre_scores_gemma":[0.9992238,0.0001363075,0.00002859789,0.000004786584,0.000341305,0.00003501545,0.00003370403,0.0000747599,0.0001217822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08957215,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006594082231117546,"score_gpt":0.1822637216589984,"score_spread":0.1756696394278808,"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."}}