{"id":"W2164991825","doi":"10.4209/aaqr.2011.01.0004","title":"Distribution of Nanoparticles near a Major U.S. and Canada Trade Bridge: Comparison of Simulations with Field Data","year":2013,"lang":"en","type":"article","venue":"Aerosol and Air Quality Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; Health Effects Institute; U.S. Department of Energy","keywords":"Turbulence; Dispersion (optics); Meteorology; Ultrafine particle; Particle (ecology); Range (aeronautics); Computational fluid dynamics; Drag; Mechanics; Environmental science; Particle-size distribution; Particle size; Atmospheric sciences; Physics; Materials science; Engineering; Geology; Aerospace engineering; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002743095,0.0005395437,0.0004464188,0.0005735166,0.001015545,0.000708152,0.0008685171,0.0009592436,0.001106401],"category_scores_gemma":[0.0007584759,0.0003114307,0.0005349292,0.0006368257,0.0004871538,0.0003774734,0.000320616,0.0004727012,0.0001356247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004790072,"about_ca_system_score_gemma":0.004527127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7386597,"about_ca_topic_score_gemma":0.6396803,"domain_scores_codex":[0.9998767,0.00001244515,0.000004949462,0.00003218768,0.00003433446,0.00003929095],"domain_scores_gemma":[0.9996446,0.0001039694,0.00002141613,0.00001632423,0.0001749303,0.00003871411],"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":[0.0001019058,0.0001563268,0.01974592,0.00002338801,0.00002081979,0.000132728,0.00008921359,0.9742441,0.001880458,0.0003743789,0.0004944246,0.002736446],"study_design_scores_gemma":[0.00002346897,0.00004322774,0.005914697,0.000003522106,0.000007479138,0.000008679163,0.0001103562,0.9924701,0.001064658,0.00007450546,0.000269593,0.000009769634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946728,0.00003524546,0.00144591,0.00005766697,0.000009070154,0.00003776219,0.0005736983,0.00006738988,0.003100591],"genre_scores_gemma":[0.9964431,0.00004396477,0.001785425,0.00002006801,0.000002141143,0.0000290286,0.0007369801,0.00001532074,0.0009240267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613403,"threshold_uncertainty_score":0.5257587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1796909434573971,"score_gpt":0.4228180947645894,"score_spread":0.2431271513071923,"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."}}