{"id":"W4416344590","doi":"10.21203/rs.3.rs-8125090/v1","title":"Physics-Informed Hybrid Transformer with Uncertainty Quantification for Remaining Useful Life Prediction of Turbofan Engines","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interpretability; Transformer; Encoder; Uncertainty quantification; Turbofan; Prognostics; Nonlinear system; Reliability (semiconductor); Component (thermodynamics)","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00348612,0.0009780949,0.001432016,0.00143267,0.0004598864,0.0002548724,0.001166426,0.0006654791,0.00007168354],"category_scores_gemma":[0.002412842,0.0009468986,0.0006061464,0.001524938,0.0003944076,0.0005541348,0.0001651693,0.002526296,0.000009852292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111841,"about_ca_system_score_gemma":0.002186221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006385263,"about_ca_topic_score_gemma":0.0001700077,"domain_scores_codex":[0.9929048,0.0003742744,0.001812654,0.001350071,0.002048595,0.001509648],"domain_scores_gemma":[0.9913013,0.002944367,0.0003918014,0.001854106,0.003088964,0.0004194829],"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":[0.003340084,0.001543896,0.01594636,0.129919,0.003127547,0.00001169914,0.0101573,0.7161007,0.01209583,0.01325523,0.01739947,0.07710285],"study_design_scores_gemma":[0.002917346,0.001984978,0.01010305,0.02158063,0.000414833,0.000005645901,0.001463072,0.7188147,0.22039,0.002978505,0.01794012,0.00140718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1609652,0.001761895,0.7881122,0.001416395,0.001076434,0.024588,0.01348554,0.002041151,0.006553198],"genre_scores_gemma":[0.9771268,0.003660905,0.008388935,0.00001471316,0.0006087102,0.006083746,0.003661576,0.0001850485,0.000269511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8161616,"threshold_uncertainty_score":0.9997749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07143675354787117,"score_gpt":0.3941205671817405,"score_spread":0.3226838136338693,"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."}}