{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008021625,0.0000626037,0.000179081,0.00000816485,0.0002414725,0.0000215156,0.0001603863,0.00004162232,0.0001459589],"category_scores_gemma":[0.0002709729,0.00004938045,0.000007504344,0.0001649503,0.0004985468,0.0002359222,0.0002245934,0.0001570945,0.000002139242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003558676,"about_ca_system_score_gemma":0.0001182401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.819449,"about_ca_topic_score_gemma":0.5369493,"domain_scores_codex":[0.998475,0.000252877,0.0002997821,0.0002039819,0.0005035871,0.0002648137],"domain_scores_gemma":[0.9987769,0.0006210804,0.00007559556,0.0003195801,0.00002373667,0.0001830672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001592391,0.0003112919,0.9372404,0.000408623,0.00002490425,9.870625e-7,0.002035411,0.0002698133,0.007564405,0.000278487,0.03259151,0.01911498],"study_design_scores_gemma":[0.0003855322,0.0003134411,0.9796027,0.00003367899,0.000006906173,0.000001418531,0.0006660436,0.007987607,0.009963255,0.0001485887,0.0008002067,0.00009065622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988259,0.00006087809,0.0001127164,0.01101563,0.000005971957,0.0002650096,0.0002235966,0.000004259985,0.00005297266],"genre_scores_gemma":[0.9994599,0.00001425346,0.0002141831,0.0002196258,0.000006626511,0.000004497924,0.00005837491,0.000003239491,0.00001935516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2824997,"threshold_uncertainty_score":0.4715002,"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."}}