{"id":"W4386741125","doi":"10.3390/jcs7090389","title":"A Comparison of Three Simulation Techniques for Modeling the Fan Blade–Composite Abradable Rub Strip Interaction in Turbofan Engines","year":2023,"lang":"en","type":"article","venue":"Journal of Composites Science","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Pratt and Whitney Canada","keywords":"Turbofan; Finite element method; Robustness (evolution); Rubbing; Blade (archaeology); Aero engine; Structural engineering; Computational fluid dynamics; Computer science; Materials science; Mechanical engineering; Mechanics; Engineering; Physics; Composite material","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":[0.0006349764,0.000591263,0.0004908314,0.0006213576,0.0003915215,0.0005172086,0.0007430971,0.0007467079,0.0008796323],"category_scores_gemma":[0.001512667,0.0002577861,0.0005922836,0.0003799387,0.0003116133,0.0005082198,0.0005045297,0.0005004127,0.0001215344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533367,"about_ca_system_score_gemma":0.000862496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00675206,"about_ca_topic_score_gemma":0.005822827,"domain_scores_codex":[0.9997763,0.00007158732,0.0000197686,0.00002182636,0.0000864256,0.0000240692],"domain_scores_gemma":[0.9993557,0.000306959,0.0000562654,0.00007376295,0.0001701872,0.00003707301],"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":[0.0003101314,0.0002925333,0.008468392,0.0001867414,0.00005819048,0.0001376393,0.0001956026,0.9209852,0.02718559,0.002474867,0.0001878845,0.03951725],"study_design_scores_gemma":[0.00001717637,0.00008879803,0.0006359608,0.000006167539,0.000009391298,0.00001872112,0.0000272563,0.9941382,0.004715504,0.0001113863,0.0002240555,0.000007295662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837023,0.0003624495,0.1558597,0.0001254961,0.00005922161,0.0001862577,0.0001717328,0.0004462634,0.005765912],"genre_scores_gemma":[0.9494708,0.0002418856,0.049372,0.00001430513,0.000007780035,0.0000896323,0.00008628736,0.00003828456,0.0006788435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00675206,"threshold_uncertainty_score":0.01342553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861301387969268,"score_gpt":0.3399513829411899,"score_spread":0.3013383690614972,"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."}}