{"id":"W3153559827","doi":"10.1063/5.0047500","title":"Assessment of a flamelet approach to evaluating mean species mass fractions in moderately and highly turbulent premixed flames","year":2021,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office National d'études et de Recherches Aérospatiales; Vetenskapsrådet; Ministry of Education and Science of the Russian Federation; Canada Excellence Research Chairs, Government of Canada","keywords":"Probability density function; Turbulence; Combustion; Laminar flow; Mechanics; Function (biology); Thermodynamics; Physics; Direct numerical simulation; Statistical physics; Statistics; Chemistry; Mathematics; Physical chemistry; Reynolds number","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001347647,0.0001180283,0.0002546504,0.00006289058,0.00002202849,0.00002145241,0.00007004627,0.00003846452,0.000007514584],"category_scores_gemma":[0.00002043445,0.0001323998,0.0000485758,0.0002688348,0.00002525899,0.00009671308,0.00004110707,0.0001391553,6.370203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007246595,"about_ca_system_score_gemma":0.00004483315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008525026,"about_ca_topic_score_gemma":0.000006894469,"domain_scores_codex":[0.9991766,0.00003403457,0.0002722718,0.0001603619,0.0002234475,0.0001333489],"domain_scores_gemma":[0.9995351,0.00005695937,0.00003115033,0.0002055017,0.0001268802,0.00004438259],"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":[0.000006599616,0.0001396165,0.001137613,0.0002196622,0.00005868575,0.000001644034,0.001122362,0.6469387,0.3239865,0.02378149,0.0000431912,0.002563961],"study_design_scores_gemma":[0.0003136746,0.00002972813,0.01703861,0.000060087,0.00002178137,0.000001663115,0.0003899341,0.9571341,0.02321917,0.001622161,0.00003534295,0.0001337328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8168162,0.00008770121,0.1784779,0.00004704485,0.00007085343,0.0001337489,0.00001560684,0.00003713459,0.004313784],"genre_scores_gemma":[0.9635907,0.00007264796,0.03615967,0.00001120348,0.00003615606,0.00002018664,0.00002619757,0.00001799955,0.00006516941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3101954,"threshold_uncertainty_score":0.5399107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938276660339757,"score_gpt":0.2790782490478154,"score_spread":0.2496954824444178,"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."}}