{"id":"W7019032030","doi":"","title":"Exergetic Optimisation of Vortex Tubes using a Thermodynamic Model","year":2021,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"Ranque-Hilsch vortex tube","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Vortex tube; Exergy; Mach number; Exergy efficiency; Vortex; Inlet; Dissipation; Tube (container)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002616069,0.0003254967,0.0005498226,0.0003102305,0.0001420425,0.00004543703,0.0003712696,0.0002320046,0.0000546859],"category_scores_gemma":[0.0000353141,0.0004084899,0.0002282132,0.0005924949,0.00007819889,0.0005328141,0.0001122763,0.0002425179,0.00003576329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008288094,"about_ca_system_score_gemma":0.0002118643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001743332,"about_ca_topic_score_gemma":0.00006704727,"domain_scores_codex":[0.998188,0.0001295674,0.0004002954,0.0004232397,0.0004012626,0.0004576602],"domain_scores_gemma":[0.998714,0.00007194089,0.0000861153,0.0006695983,0.0002786944,0.0001796445],"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":[0.000038422,0.00006839736,0.0005696216,0.001441663,0.0002807505,0.0002109914,0.001610877,0.843888,0.1459932,0.005449069,0.0001355752,0.0003134476],"study_design_scores_gemma":[0.0007475215,0.00001581207,0.0007108913,0.0004081785,0.000184371,0.00008149657,0.002739172,0.9870268,0.007428574,0.00006260487,0.0001863125,0.0004082456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237065,0.0004846378,0.06088676,0.00003061066,0.0004342572,0.0003536119,0.00008733499,0.0004493288,0.01356701],"genre_scores_gemma":[0.9937371,0.00005856984,0.005412197,0.00000700103,0.00005987456,0.000001752023,0.00005050746,0.00007222554,0.0006007648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1431389,"threshold_uncertainty_score":0.9998367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009325292962310985,"score_gpt":0.1704578737225239,"score_spread":0.1611325807602129,"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."}}