{"id":"W2095037278","doi":"10.1016/j.combustflame.2014.11.009","title":"Consumption speed and burning velocity in counter-gradient and gradient diffusion regimes of turbulent premixed combustion","year":2014,"lang":"en","type":"article","venue":"Combustion and Flame","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Mechanics; Laminar flow; Turbulence kinetic energy; Laminar flame speed; Flame speed; Premixed flame; Diffusion; Combustion; Diffusion flame; Velocity gradient; Physics; Chemistry; Thermodynamics; Combustor","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":[0.0003623364,0.0003787947,0.0003304954,0.0009658088,0.0005758733,0.001067869,0.0005345665,0.0006011915,0.001108182],"category_scores_gemma":[0.001991252,0.0004344427,0.0002581339,0.0004514612,0.001329105,0.001075029,0.0006218481,0.0005559694,0.0001330332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006753432,"about_ca_system_score_gemma":0.0003268515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812138,"about_ca_topic_score_gemma":0.001957625,"domain_scores_codex":[0.999922,0.0000177956,0.000005326611,0.0000177104,0.00001525974,0.00002186918],"domain_scores_gemma":[0.9991112,0.0005673604,0.0001095038,0.00005695978,0.00006504961,0.00008997965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01298737,0.001147495,0.1684066,0.0003882501,0.000166051,0.002064917,0.0022971,0.3675737,0.2869399,0.1218759,0.002281668,0.0338711],"study_design_scores_gemma":[0.00009648048,0.0001678053,0.056124,0.00002801401,0.00002636993,0.0002001831,0.0003011867,0.8943869,0.03896577,0.009120896,0.000498935,0.00008344412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958739,0.0002941071,0.00205852,0.0000622502,0.000009276824,0.000006349109,0.00005108456,0.00003820132,0.001606386],"genre_scores_gemma":[0.9991236,0.00006753918,0.0003239517,0.000004781671,0.000004570542,0.000003006966,0.00003753938,0.00001036311,0.0004246736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002812138,"threshold_uncertainty_score":0.005591571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009631811240136559,"score_gpt":0.2066993180336197,"score_spread":0.1970675067934831,"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."}}