{"id":"W3199538507","doi":"10.32393/csme.2021.53","title":"Multiobjective Optimization Of Vortex Tubes Integrated In A Trigenerative Compressed Air Energy Storage System","year":2021,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 4","topic":"Ranque-Hilsch vortex tube","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Compressed air energy storage; Energy storage; Compressed air; Vortex; Computer science; Vortex tube; Mechanical engineering; Engineering; Mechanics; Physics; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004440945,0.0004962715,0.0007757908,0.0003705604,0.0004419688,0.00110169,0.0004179034,0.001052026,0.001619943],"category_scores_gemma":[0.0006468188,0.000296716,0.0004198256,0.0003205045,0.0005942961,0.0003599184,0.0005037246,0.0003637692,0.0000903797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008829193,"about_ca_system_score_gemma":0.001116987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111067,"about_ca_topic_score_gemma":0.007093896,"domain_scores_codex":[0.9998834,0.00003747153,0.000004634122,0.00001610019,0.00002411795,0.00003424032],"domain_scores_gemma":[0.9997244,0.0001646903,0.00003644492,0.000007802165,0.00003941913,0.00002714366],"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":[0.00008502995,0.00002691379,0.0004682797,0.00002785294,0.0000167181,0.00007091792,0.00001441544,0.9944718,0.001993293,0.0007962046,0.00008470903,0.00194403],"study_design_scores_gemma":[0.00001950961,0.0001039754,0.0002523776,0.000004022002,0.000009196432,0.000006578426,0.0000218665,0.9986639,0.0005824246,0.0001652337,0.0001668319,0.000004085533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031544,0.0004860962,0.082077,0.000329298,0.00007347131,0.0001097437,0.0001599618,0.000107961,0.01350206],"genre_scores_gemma":[0.9930416,0.00007084355,0.004942128,0.00002082964,0.000003364279,0.0000378249,0.00003045296,0.000005916376,0.001847034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111067,"threshold_uncertainty_score":0.02208412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004862998328644882,"score_gpt":0.1908441283081571,"score_spread":0.1859811299795122,"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."}}