{"id":"W4409970908","doi":"10.1021/acs.est.5c02251","title":"Assessing Tropical Cyclone-Driven Aerosol Transport – A High-Resolution WRF-Chem Analysis of Major Hurricane Matthew and Implications for Future Climate Scenarios","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Tropical cyclone; Weather Research and Forecasting Model; Environmental science; Climatology; Aerosol; High resolution; Cyclone (programming language); Meteorology; Atmospheric sciences; Geography; Geology; Remote sensing; Engineering","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":[0.0006038558,0.0008384346,0.0006005307,0.0004341142,0.0005416057,0.0007911896,0.0006895307,0.00124726,0.0007672113],"category_scores_gemma":[0.0009051153,0.0002897716,0.001114332,0.0004279206,0.0003472269,0.0006316614,0.0004544248,0.0007570105,0.00012336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007972444,"about_ca_system_score_gemma":0.001000253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09784388,"about_ca_topic_score_gemma":0.04217181,"domain_scores_codex":[0.9998642,0.00003964006,0.000009732558,0.00002800765,0.00002767705,0.00003073981],"domain_scores_gemma":[0.999691,0.0001063475,0.00003937296,0.00003198936,0.00007201945,0.00005940611],"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":[0.0002940781,0.0002889123,0.06112442,0.0001231415,0.0002950213,0.0003985671,0.00007695879,0.9244221,0.004733144,0.001487964,0.002026387,0.004729255],"study_design_scores_gemma":[0.00008643379,0.00008010318,0.0178929,0.00001071304,0.00004203465,0.0000256309,0.0000840918,0.9800082,0.000849191,0.0002329605,0.0006661208,0.00002151766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940854,0.0002708065,0.0008663503,0.0004610336,0.00003806379,0.00003052038,0.001800838,0.0001287507,0.002318215],"genre_scores_gemma":[0.996276,0.0001169999,0.001459354,0.00005692992,0.00002517688,0.00001427191,0.001769846,0.0000225762,0.0002588039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09784388,"threshold_uncertainty_score":0.1945487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008239441505128807,"score_gpt":0.2574586926286566,"score_spread":0.2492192511235277,"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."}}