{"id":"W2804017919","doi":"10.1115/gt2013-94400","title":"Modeling of Abradable Coating Removal in Aircraft Engines Through Delay Differential Equations","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Turbomachinery; Vibration; Machining; Coating; Turbine; Stability (learning theory); Instability; Turbine blade; Computer science; Mechanical engineering; Mechanics; Composite material; Acoustics; Physics; Engineering; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002538909,0.00008668083,0.0001181835,0.00005027145,0.00002770115,0.00001549259,0.00006049308,0.00004206182,0.000125193],"category_scores_gemma":[0.00003923655,0.00008127025,0.00002083342,0.0001509376,0.000006598151,0.0003884388,0.00001654634,0.0000784553,0.000005313472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001725077,"about_ca_system_score_gemma":0.000007356259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002654303,"about_ca_topic_score_gemma":0.00005860151,"domain_scores_codex":[0.9994493,0.00000473246,0.000238019,0.00008891882,0.00007693213,0.0001421046],"domain_scores_gemma":[0.9997908,0.0000414357,0.00001820359,0.00008349815,0.00004843489,0.00001761411],"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":[8.252491e-7,0.000009341249,0.00003706093,0.0000431273,0.000004588696,2.741198e-7,0.0002693141,0.9950544,0.002089283,0.001502251,0.000009286568,0.0009803107],"study_design_scores_gemma":[0.0001682661,0.000006713861,0.00001195979,0.00003245622,0.000003974289,0.000001210561,0.0001137817,0.9966071,0.001655669,0.00129332,0.00001226,0.00009328457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09155836,0.0001511845,0.9050424,0.00001576057,0.00007946808,0.00009365658,9.563075e-7,0.0001359932,0.002922217],"genre_scores_gemma":[0.8695935,0.00004494515,0.1301956,0.000007328074,0.00002449011,0.00001462254,0.00001117393,0.00001850412,0.00008983465],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7780352,"threshold_uncertainty_score":0.3314105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404931450613019,"score_gpt":0.2340172795635463,"score_spread":0.2199679650574161,"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."}}