{"id":"W4292674954","doi":"10.1115/1.4055190","title":"Micro-Mixing Combustion for Highly Recuperated Gas Turbines: Effects of Inlet Temperature and Fuel Composition on Combustion Stability and NOx Emissions","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Combustor; Combustion; NOx; Inlet; Nozzle; Jet (fluid); Fuel mass fraction; Materials science; Nuclear engineering; Waste management; Chemistry; Environmental science; Combustion chamber; Mechanics; Mechanical engineering; Engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005540079,0.0002900251,0.0003421121,0.000241317,0.00022769,0.0004007337,0.0002511406,0.0002671327,0.0007094378],"category_scores_gemma":[0.0006606505,0.0002116332,0.0002889613,0.0001740011,0.000235445,0.0003543163,0.0002403292,0.0002868314,0.0001250954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922046,"about_ca_system_score_gemma":0.0001521074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00038871,"about_ca_topic_score_gemma":0.0006944858,"domain_scores_codex":[0.999729,0.00003217016,0.00002598735,0.00007195367,0.0001125193,0.00002845702],"domain_scores_gemma":[0.9995911,0.0001356687,0.000151289,0.00002763252,0.00006975175,0.00002457132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001867955,0.00003664476,0.001025206,0.00004908421,0.000004717095,0.00003094681,0.00002841917,0.001064331,0.994524,0.00004972095,0.00001545147,0.002984701],"study_design_scores_gemma":[0.00001012549,0.0003989047,0.003616229,0.000003639043,0.00000818523,0.00003196303,0.00001358615,0.003435765,0.99228,0.000009143607,0.000184972,0.000007486047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958993,0.0002959514,0.003413247,0.00001163379,0.000009679959,0.00001355971,0.00002881602,0.00004895379,0.0002789003],"genre_scores_gemma":[0.9960913,0.00006823592,0.003551842,0.000004944191,0.000002342723,0.000009423182,0.00002673457,0.00001175012,0.0002333131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007094378,"threshold_uncertainty_score":0.002929926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004992140176107706,"score_gpt":0.1990457911714607,"score_spread":0.194053650995353,"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."}}