{"id":"W4206052991","doi":"10.2514/6.2022-1823","title":"Eulerian-Lagrangian CFD-microphysics modeling of Aircraft-Emitted Aerosol Formation at Ground Level","year":2022,"lang":"en","type":"article","venue":"AIAA SCITECH 2022 Forum","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Plume; Context (archaeology); Environmental science; Soot; Particulates; Aerosol; Meteorology; Computational fluid dynamics; Jet engine; Air quality index; Lagrangian particle tracking; Aerospace engineering; Lagrangian; Atmospheric sciences; Combustion; Physics; Chemistry; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002274032,0.0002199118,0.0002360404,0.0001058355,0.0007869494,0.00002065183,0.0006349925,0.00008390857,0.001004903],"category_scores_gemma":[0.00002752218,0.0002305874,0.0001266634,0.0008696737,0.0001920987,0.0005833558,0.00140377,0.0003146439,0.00009961364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588051,"about_ca_system_score_gemma":0.00001397533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001777664,"about_ca_topic_score_gemma":0.00008877671,"domain_scores_codex":[0.9980446,0.00004854361,0.0003837553,0.0004086374,0.0005889607,0.0005254989],"domain_scores_gemma":[0.9991906,0.00003391663,0.0001927159,0.0005056349,0.00001595775,0.00006117638],"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":[0.00009852184,0.0001906114,0.001658141,0.00002940768,0.0000275352,0.00001675355,0.0005633157,0.07819601,0.8859481,0.001003666,0.005320598,0.02694738],"study_design_scores_gemma":[0.002989313,0.00115967,0.0009501816,0.00005785858,0.00009224069,0.0001621689,0.008577505,0.5546753,0.3548885,0.04763528,0.02679403,0.002017936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8367454,0.0001375003,0.1586544,0.001080806,0.0002748377,0.0006158181,0.0001737918,0.0003881293,0.001929342],"genre_scores_gemma":[0.9927667,0.00002956174,0.005618144,0.0002949473,0.00001271081,0.0001147923,0.00007098246,0.00003351296,0.001058613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5310595,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079789933129478,"score_gpt":0.2225973548999129,"score_spread":0.2017994555686182,"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."}}