{"id":"W3161589657","doi":"","title":"Towards understanding stall cells and transonic buffet cells","year":2020,"lang":"fr","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office National d'études et de Recherches Aérospatiales; Natural Sciences and Engineering Research Council of Canada; Grand Équipement National De Calcul Intensif; Compute Canada; Polytechnique Montréal","keywords":"Stall (fluid mechanics); Transonic; Aerospace engineering; Aeronautics; Computer science; Engineering; Aerodynamics","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":[0.0004328093,0.0009689027,0.0009274411,0.00102009,0.0005833919,0.003165186,0.001476524,0.001739495,0.005376777],"category_scores_gemma":[0.001216666,0.0007228953,0.0009713466,0.0006033443,0.001458287,0.003319123,0.001971495,0.001882973,0.001193631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009820425,"about_ca_system_score_gemma":0.001058275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316164,"about_ca_topic_score_gemma":0.00651664,"domain_scores_codex":[0.9997887,0.00003860834,0.00001167956,0.0000511631,0.00005339604,0.00005650799],"domain_scores_gemma":[0.9994935,0.0001187014,0.0001035721,0.00008195336,0.0001409911,0.00006130745],"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":[0.0002025482,0.0002103078,0.0198892,0.0006229169,0.00007265394,0.0007246345,0.001616636,0.5466226,0.05199499,0.2977139,0.004209842,0.0761198],"study_design_scores_gemma":[0.00002875502,0.00008892768,0.005359408,0.000133366,0.00002003042,0.0001809352,0.0006469805,0.9093451,0.004077386,0.05586681,0.02417541,0.00007678249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1868118,0.01033724,0.7548916,0.001755727,0.0007004042,0.0002592292,0.0006797723,0.0005639677,0.04400029],"genre_scores_gemma":[0.8538763,0.01029977,0.1025144,0.0005354794,0.0004416867,0.0002891453,0.0007958314,0.0002643733,0.03098302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01316164,"threshold_uncertainty_score":0.02617002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217507742337601,"score_gpt":0.2237617809643266,"score_spread":0.2015867035409506,"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."}}