{"id":"W2023709773","doi":"10.1115/1.4027170","title":"Extended Kalman Filter Based In-Cylinder Temperature Estimation for Diesel Engines With Thermocouple Lag Compensation","year":2014,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermocouple; Extended Kalman filter; Control theory (sociology); Kalman filter; Temperature measurement; Cylinder; Compensation (psychology); Automotive engineering; Computer science; Engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071455,0.0001365664,0.0003001539,0.0002016558,0.00004123131,0.00004737409,0.00009840998,0.00008316478,0.000001298498],"category_scores_gemma":[0.0001460794,0.00009655632,0.00003791456,0.00008849776,0.00002166859,0.0001360249,0.000003197597,0.0001860112,3.327689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707089,"about_ca_system_score_gemma":0.00001932737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002124553,"about_ca_topic_score_gemma":0.00002874226,"domain_scores_codex":[0.9989355,0.00004778356,0.0003372548,0.00009413268,0.0004020906,0.0001832227],"domain_scores_gemma":[0.9992561,0.0001126664,0.0001237482,0.0001215337,0.0003476352,0.000038281],"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":[0.0004300226,0.00005519486,0.001323489,0.0005485964,0.0001960178,0.000006065214,0.0001082132,0.7175617,0.2638392,0.0001710761,0.00005505031,0.0157053],"study_design_scores_gemma":[0.003793453,0.0002435773,0.007203056,0.0002875935,0.00002684199,0.00001408919,0.0001497609,0.9872985,0.0006836056,0.00009043733,0.00009170119,0.0001173181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3345929,0.001187799,0.6627198,0.0002683032,0.0002261188,0.0008782423,0.000005424504,0.00007191396,0.0000494947],"genre_scores_gemma":[0.9984174,0.00001326694,0.001423349,0.00001119909,0.00004809823,0.00005040844,0.000002064996,0.00002297739,0.00001127434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6638245,"threshold_uncertainty_score":0.3937452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216598981924361,"score_gpt":0.2258282949570319,"score_spread":0.2136623051377883,"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."}}