{"id":"W4406327575","doi":"10.1080/00102202.2025.2451412","title":"Large Eddy Simulations of a Medium-Scale Ethanol Pool Fire Using Conditional Source-Term Estimation Including Coupled Soot Radiation Effects","year":2025,"lang":"en","type":"article","venue":"Combustion Science and Technology","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soot; Term (time); Environmental science; Radiation; Large eddy simulation; Scale (ratio); Medium term; Nuclear engineering; Materials science; Combustion; Atmospheric sciences; Mechanics; Chemistry; Thermodynamics; Physics; Nuclear physics; Turbulence; Engineering; Physical 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":[0.0007342516,0.0006676698,0.0006580496,0.0003482598,0.0004607662,0.0006850091,0.001131356,0.001086927,0.0008501913],"category_scores_gemma":[0.001515024,0.000402229,0.000731156,0.0004357439,0.0006083912,0.0006499237,0.0006698629,0.0007628764,0.0000744449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662388,"about_ca_system_score_gemma":0.001004642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02928841,"about_ca_topic_score_gemma":0.01559744,"domain_scores_codex":[0.9998326,0.00005404133,0.00001375423,0.00002743381,0.00003332675,0.00003873576],"domain_scores_gemma":[0.9989911,0.0005873059,0.0001197306,0.00006670612,0.000130482,0.0001046805],"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":[0.0001124066,0.0001026529,0.003773659,0.00001741116,0.00003003757,0.00004984066,0.00001689351,0.992231,0.001817323,0.0004373262,0.00006376651,0.001347717],"study_design_scores_gemma":[0.00001293815,0.00001893425,0.0006189722,9.557907e-7,0.000003636542,0.000002507507,0.000004213754,0.9988883,0.0003669549,0.00005522263,0.00002380954,0.000003532848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835444,0.00007174323,0.01373791,0.0001089673,0.00002067102,0.00004463999,0.0001767341,0.0002146091,0.002080437],"genre_scores_gemma":[0.9943388,0.00002987084,0.005037389,0.00002199089,0.000007220372,0.00003320215,0.0001537797,0.00002227931,0.0003553897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02928841,"threshold_uncertainty_score":0.05823588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334238198646159,"score_gpt":0.3046885760045411,"score_spread":0.2913461940180795,"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."}}