{"id":"W2911809717","doi":"10.1016/j.apenergy.2019.01.222","title":"Modelling and experimental validation of a small-scale trigenerative compressed air energy storage system","year":2019,"lang":"en","type":"article","venue":"Applied Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compressed air energy storage; Compressed air; Energy storage; Efficient energy use; Energy (signal processing); Process engineering; Simulation; Nuclear engineering; Mechanical engineering; Engineering; Thermodynamics; Power (physics); Mathematics; 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":[0.00004990601,0.000164222,0.0003090471,0.0000673481,0.00003717998,0.0000125882,0.00009594901,0.00008526793,0.00001341043],"category_scores_gemma":[1.460726e-7,0.0001590302,0.00005360628,0.00007751975,0.0000220012,0.00003523355,0.00002255219,0.00004116822,0.00000364424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004568887,"about_ca_system_score_gemma":0.00000806386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004570012,"about_ca_topic_score_gemma":0.000006558642,"domain_scores_codex":[0.9992643,0.00001775722,0.0002556802,0.0001874992,0.0001151277,0.0001596236],"domain_scores_gemma":[0.9996671,0.00002101311,0.00005522077,0.0001807779,0.00002021981,0.00005567183],"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":[0.00002432499,0.0000178662,0.000003278576,0.00005388849,0.0000640774,5.089228e-7,0.0003833038,0.9159738,0.05842285,0.02488929,0.00002218006,0.0001446427],"study_design_scores_gemma":[0.0003819644,0.00002390602,0.000001670461,0.00003015653,0.00001862071,0.000001507887,0.001022652,0.8127052,0.1852656,0.00006142476,0.0003276811,0.0001595866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.523218,0.0005691018,0.4647579,8.478376e-7,0.000167888,0.00004422874,0.000005327237,0.0001032399,0.01113345],"genre_scores_gemma":[0.9991395,0.00002244635,0.0004340789,0.000007724529,0.00006986631,0.00003356395,0.00003556488,0.00003269025,0.0002245237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4759216,"threshold_uncertainty_score":0.6485065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007317466195644138,"score_gpt":0.1858979945897452,"score_spread":0.178580528394101,"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."}}