{"id":"W4404124313","doi":"10.1016/j.jaerosci.2024.106488","title":"Numerical simulation and experimental analysis of aerosol deposition: Investigating nozzle effects on particle dynamics and deposition","year":2024,"lang":"en","type":"article","venue":"Journal of Aerosol Science","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deposition (geology); Aerosol; Nozzle; Particle deposition; Particle (ecology); Materials science; Particle dynamics; Mechanics; Environmental science; Atmospheric sciences; Meteorology; Chemistry; Aerospace engineering; Physics; Molecular dynamics; Geology; Engineering; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003200931,0.0000953945,0.0001857572,0.0001677963,0.00009577123,0.0001345428,0.00009059702,0.00003511354,0.000002041212],"category_scores_gemma":[0.00008162337,0.0000874796,0.00005097157,0.0009728631,0.0001788469,0.0005342279,0.00002737198,0.0001301986,7.75305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613834,"about_ca_system_score_gemma":0.00002240447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004732593,"about_ca_topic_score_gemma":0.000003750864,"domain_scores_codex":[0.9989875,0.00002797312,0.0003197992,0.0001429708,0.0003598618,0.0001618857],"domain_scores_gemma":[0.9994276,0.0002173177,0.00006636166,0.00009025782,0.00005567513,0.0001427731],"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":[0.000006169667,0.00001463423,0.00109765,0.00002903098,0.00004336036,0.00000917886,0.0003563804,0.4434672,0.5536745,0.0001238446,9.632348e-7,0.001177089],"study_design_scores_gemma":[0.00009129944,0.0001185205,0.0007343285,0.00007830764,0.00007431773,0.00001849383,0.00003632166,0.6112721,0.3875175,0.000006545513,1.966558e-8,0.00005229641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732379,0.0004186985,0.02598653,0.00004288749,0.0001822605,0.00006193777,0.000002339464,0.00002957417,0.00003783848],"genre_scores_gemma":[0.9969428,0.00001033896,0.002978259,0.00002138439,0.00003432336,0.000002003409,7.718896e-7,0.00000915034,0.000001023766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1678049,"threshold_uncertainty_score":0.3567314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108425464137184,"score_gpt":0.2812714228363888,"score_spread":0.2704288764226704,"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."}}