{"id":"W1980254217","doi":"10.1109/ccece.2014.6901166","title":"Prediction of exhaust gas temperature in GTE by multivariate regression analysis and anomaly detection","year":2014,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Life Prediction Technologies (Canada)","funders":"","keywords":"Multivariate statistics; Linear regression; Regression analysis; Statistics; Regression; Gas turbines; Mean squared error; Multivariate analysis; Mathematics; Engineering","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":[0.0007015694,0.0006377246,0.0004676192,0.0009273125,0.0001568586,0.0002830779,0.0003325221,0.0003014679,0.0005909867],"category_scores_gemma":[0.001805074,0.0001603128,0.0006038268,0.001030297,0.0001317248,0.0003751134,0.000217242,0.0004686793,0.0002771163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278632,"about_ca_system_score_gemma":0.0003192002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006477729,"about_ca_topic_score_gemma":0.005153408,"domain_scores_codex":[0.999692,0.00008390356,0.00002338392,0.00009067346,0.00008175759,0.00002833713],"domain_scores_gemma":[0.9993193,0.0003709254,0.0001187944,0.0000553899,0.0001170843,0.00001856084],"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":[0.0004714617,0.0002190467,0.1267634,0.0001606982,0.000191156,0.0001647742,0.0001186702,0.6354091,0.04954874,0.000948159,0.0007607299,0.185244],"study_design_scores_gemma":[0.000003450246,0.00006385351,0.03184339,0.000003293837,0.00001370274,0.00004199173,0.00001362669,0.9603777,0.007226518,0.0002000406,0.0001996845,0.00001277297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7033203,0.0001462845,0.2928632,0.0000730241,0.0000270642,0.0000319377,0.0007212577,0.001689926,0.001126802],"genre_scores_gemma":[0.9677073,0.0000585672,0.03129317,0.000004059271,0.000007318355,0.00002289558,0.0004183717,0.00004715324,0.0004411715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006477729,"threshold_uncertainty_score":0.01288009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003984815661650437,"score_gpt":0.1867210260845888,"score_spread":0.1827362104229384,"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."}}