{"id":"W2523054841","doi":"","title":"A High-Order Accurate Unstructured Finite-Volume Algorithm for Turbulent Flames","year":2014,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitacs; Los Alamos National Laboratory; Compute Canada; University of Toronto; U.S. Department of Energy","keywords":"Finite volume method; Volume (thermodynamics); Turbulence; Computer science; Order (exchange); Algorithm; Mechanics; Physics; Thermodynamics","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":[0.0005245814,0.0004738013,0.0005443118,0.0004095198,0.0006885352,0.0006494809,0.001331801,0.0007687836,0.003948102],"category_scores_gemma":[0.002014112,0.0003398915,0.0005080025,0.0003885579,0.0004924008,0.0007734523,0.00114385,0.001045489,0.001055886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961278,"about_ca_system_score_gemma":0.001125631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004654737,"about_ca_topic_score_gemma":0.005505798,"domain_scores_codex":[0.9998061,0.00004601754,0.00000998879,0.00001725288,0.0001011074,0.00001957886],"domain_scores_gemma":[0.9994611,0.0002294891,0.00002977621,0.00006728403,0.0001696635,0.00004270251],"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":[0.0002272405,0.0001097221,0.0006435027,0.0001207392,0.00002934714,0.0001186069,0.0001676917,0.8517751,0.01433156,0.02153614,0.004820583,0.1061198],"study_design_scores_gemma":[0.00002014255,0.00001230433,0.00002980202,0.000003388892,0.00000134557,0.000009685076,0.000005346022,0.9966502,0.0008826794,0.001428798,0.0009526648,0.000003748794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01949133,0.0001175421,0.9739731,0.0001079588,0.000101975,0.00007664035,0.0001054706,0.001022718,0.005003335],"genre_scores_gemma":[0.2063974,0.000101238,0.7865364,0.00006290484,0.00004670395,0.0001693875,0.0003424044,0.0004883673,0.005855215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004654737,"threshold_uncertainty_score":0.01320767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006054650844042212,"score_gpt":0.2104270891837677,"score_spread":0.2043724383397255,"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."}}