{"id":"W4312555492","doi":"10.1115/gt2022-82931","title":"Quantification of Autoignition Risk in Aeroderivative Gas Turbine Premixers Using Incompletely Stirred Reactor and Surrogate Modelling","year":2022,"lang":"en","type":"article","venue":"","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"","keywords":"Autoignition temperature; Surrogate model; Monte Carlo method; Computational fluid dynamics; Ignition system; Computer science; Sampling (signal processing); Nuclear engineering; Process engineering; Engineering; Aerospace engineering; Mathematics; Statistics; Machine learning","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":[0.0002160287,0.0000836151,0.0001270277,0.0001555206,0.00005108429,0.00001048328,0.00004806635,0.00002466586,0.00003942035],"category_scores_gemma":[0.00001725144,0.00009807461,0.00001972308,0.0002499462,0.00002172779,0.0001017671,0.00003441991,0.0001673915,4.716575e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175793,"about_ca_system_score_gemma":0.00001071948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002818361,"about_ca_topic_score_gemma":0.00004455971,"domain_scores_codex":[0.9993655,0.00005581026,0.0002418809,0.0001253916,0.0001106725,0.0001007524],"domain_scores_gemma":[0.9997141,0.0000619241,0.00006466264,0.0001040568,0.0000318788,0.00002337111],"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":[0.0000201875,0.00001900493,0.0008988961,0.00002595804,0.000009207914,5.365031e-7,0.0005990657,0.9765237,0.02050741,0.000336334,0.000006606874,0.001053094],"study_design_scores_gemma":[0.0002987029,0.00001614622,0.002072471,0.0000146811,0.000009225154,0.000002098596,0.0004696311,0.9952632,0.001287917,0.000437495,0.0000286864,0.00009973838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7606879,0.0000320222,0.2388406,0.00001325166,0.00006727451,0.0001185964,0.00003684459,0.00007205612,0.0001314028],"genre_scores_gemma":[0.9946159,0.00005778022,0.005215312,0.000003434935,0.000005342052,0.000008497985,0.00006532838,0.00001582234,0.00001263362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2339279,"threshold_uncertainty_score":0.3999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03656865827149692,"score_gpt":0.2279887687385287,"score_spread":0.1914201104670318,"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."}}