{"id":"W4390574947","doi":"10.1016/j.combustflame.2023.113279","title":"NO measurements in high temperature hydrogen flames: The crucial role of the hydrogen oxidation chemistry for accurate NO predictions","year":2024,"lang":"en","type":"article","venue":"Combustion and Flame","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Siemens (Canada); National Research Council Canada; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen; Chemistry; Adiabatic flame temperature; Laminar flow; Analytical Chemistry (journal); Adiabatic process; Flame structure; Thermodynamics; Combustion; Physical chemistry; Combustor; 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":[0.0007973497,0.0006346104,0.0003980199,0.0001973011,0.0003690036,0.0006055171,0.0005974538,0.0008901008,0.0006384131],"category_scores_gemma":[0.001556352,0.0003217744,0.0001756298,0.0001388971,0.001045865,0.001568131,0.0005339943,0.001250265,0.0001996482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217671,"about_ca_system_score_gemma":0.0003406862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002231091,"about_ca_topic_score_gemma":0.002147062,"domain_scores_codex":[0.9997553,0.00004950147,0.000005960956,0.00005669724,0.0001137011,0.00001881398],"domain_scores_gemma":[0.9995378,0.0002812903,0.00004413076,0.00005700203,0.00005515351,0.00002461823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001418524,0.0001784668,0.007152948,0.0006972931,0.0001016831,0.0003250886,0.0002424095,0.08334813,0.8261297,0.03418316,0.001854811,0.04436785],"study_design_scores_gemma":[0.00007855165,0.0001885306,0.00481721,0.00006125876,0.00002870349,0.0001331581,0.0001282069,0.3722889,0.5869631,0.0304356,0.00480075,0.00007609219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6478744,0.0131794,0.3212439,0.002923691,0.00188025,0.00006854843,0.0004941888,0.0008285838,0.01150702],"genre_scores_gemma":[0.981851,0.002563207,0.0136049,0.0001357488,0.0001870111,0.00001272042,0.0001208487,0.00005595047,0.001468597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002231091,"threshold_uncertainty_score":0.004436135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181390680857332,"score_gpt":0.2304649676059443,"score_spread":0.218651060797371,"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."}}