{"id":"W4233753168","doi":"10.1115/1.4052428","title":"Bearing Skidding Detection for High Speed and Aero Engine Applications","year":2021,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Bearing (navigation); Lubrication; Rotational speed; Vibration; Bearing surface; Slipping; Mechanical engineering; Structural engineering; Engineering; Automotive engineering; Materials science; Acoustics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000642627,0.0006067826,0.0004083686,0.0006768361,0.0001583788,0.0003355753,0.0005228668,0.0005281755,0.002143867],"category_scores_gemma":[0.001034138,0.0002433595,0.0001772095,0.0004185014,0.0002555002,0.0004853661,0.0002657305,0.0001663002,0.0003406853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153626,"about_ca_system_score_gemma":0.0001927921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004653086,"about_ca_topic_score_gemma":0.001174895,"domain_scores_codex":[0.9994972,0.00008533178,0.00003600135,0.000129383,0.0002139571,0.00003811948],"domain_scores_gemma":[0.9988289,0.0004093716,0.0003170441,0.0000894351,0.000305255,0.00004988819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003600347,0.00008534545,0.004698136,0.0002022576,0.0000102071,0.00006148826,0.00005636881,0.0005714578,0.9685981,0.00006041755,0.0002155706,0.02508061],"study_design_scores_gemma":[0.00004044911,0.001414281,0.03898968,0.00001572632,0.00006005156,0.0006039031,0.00009064341,0.01709427,0.9390022,0.00007756144,0.002575089,0.00003621173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543514,0.001096692,0.04197925,0.00007639173,0.00008726189,0.00008406408,0.0002128843,0.0009285645,0.001183391],"genre_scores_gemma":[0.9813454,0.0002454469,0.01752273,0.00002439037,0.00001550183,0.00001836025,0.00008432064,0.00002578506,0.0007180219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002143867,"threshold_uncertainty_score":0.007171929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005237687594920982,"score_gpt":0.2012171700791752,"score_spread":0.1959794824842542,"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."}}