{"id":"W4405494131","doi":"10.1016/j.tsep.2024.103128","title":"Performance of a transcritical CO <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si59.svg\" display=\"inline\" id=\"d1e973\"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> vortex tube: A first experimental campaign","year":2024,"lang":"lv","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Ranque-Hilsch vortex tube","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brantford Energy (Canada); Hydro-Québec; Collège Shawinigan; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec; Ministry of Natural Resources","keywords":"Scalable Vector Graphics; Computer science; Computer graphics (images); Mathematics; World Wide Web","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":[0.0004228849,0.0004869806,0.0006144833,0.0003974972,0.0006579273,0.0007282336,0.0006226642,0.0009180217,0.00441555],"category_scores_gemma":[0.0009293061,0.000255751,0.0002285997,0.0003530436,0.0005334169,0.000654293,0.0004737374,0.0004469099,0.00128024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003309569,"about_ca_system_score_gemma":0.0005142586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008057177,"about_ca_topic_score_gemma":0.001080821,"domain_scores_codex":[0.9995688,0.00004192288,0.00002077741,0.0001145254,0.00017592,0.00007814028],"domain_scores_gemma":[0.9992626,0.0002337556,0.00009823649,0.00006372425,0.0002262832,0.0001152291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002049277,0.0002098589,0.001783148,0.0001980812,0.00001329844,0.0001667865,0.0002953136,0.00163876,0.9800293,0.0002172926,0.000495913,0.01290295],"study_design_scores_gemma":[0.00003718697,0.003401604,0.006628368,0.00001597644,0.00001740515,0.00009071719,0.0001315858,0.006950085,0.9809636,0.00004121092,0.001695349,0.00002686492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995076,0.0002601623,0.002977599,0.00004078311,0.00004408494,0.00003576835,0.0001988453,0.0002049914,0.001161641],"genre_scores_gemma":[0.9954639,0.0001289047,0.001233774,0.0000181239,0.000007974139,0.00003261347,0.0002012607,0.00004809554,0.002865409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00441555,"threshold_uncertainty_score":0.01477146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268880942528593,"score_gpt":0.239344788084131,"score_spread":0.226655978658845,"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."}}