{"id":"W7023557223","doi":"","title":"Optimisation de tubes à vortex à air par des modèles analytiques et numériques","year":2020,"lang":"fr","type":"dissertation","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","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; Mitacs; Natural Resources Canada; Hydro-Québec","keywords":"Vortex; Vortex tube; Vortex generator; Freon; Laminar flow","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005680944,0.001021584,0.0007805274,0.0005019822,0.0004132962,0.001836161,0.0006601545,0.001648972,0.003324307],"category_scores_gemma":[0.001262111,0.0004986639,0.001460389,0.0004898074,0.0005082733,0.001016476,0.0004410418,0.000980472,0.0009133948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008800204,"about_ca_system_score_gemma":0.001308173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006398289,"about_ca_topic_score_gemma":0.006605013,"domain_scores_codex":[0.9997111,0.00005673481,0.00001587061,0.00006518832,0.0001201369,0.00003098827],"domain_scores_gemma":[0.999598,0.0002177209,0.00005802656,0.0000334739,0.00008206321,0.00001068073],"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":[0.00008040498,0.00005719849,0.001113919,0.0002581988,0.00003970349,0.00006566419,0.00008244858,0.9497272,0.02040457,0.004120849,0.000579911,0.02346985],"study_design_scores_gemma":[0.000007493903,0.00006128856,0.0003438526,0.00002663481,0.00001499485,0.00001553236,0.00002419726,0.9860952,0.009860142,0.000671687,0.002865184,0.00001395542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1704912,0.002247644,0.795265,0.0006169129,0.0002920464,0.000210064,0.0006246273,0.001265454,0.02898714],"genre_scores_gemma":[0.80305,0.002787202,0.1598455,0.0001690864,0.0000455881,0.0006029719,0.000755251,0.0004046363,0.03233974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006398289,"threshold_uncertainty_score":0.01272207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096685485392322,"score_gpt":0.2101841125329394,"score_spread":0.1992172576790162,"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."}}