{"id":"W4416977346","doi":"10.5194/acp-25-17553-2025","title":"Evaluation of and updates to the oxidized reactive nitrogen gaseous dry-deposition parameterization from the GEOS-Chem model, including a pathway for ground surface NO <sub>2</sub> hydrolysis","year":2025,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Dalhousie University; Harvard University; National Science Foundation","keywords":"Flux (metallurgy); Deposition (geology); Hydrolysis; Nitrogen; Reactive nitrogen; Representation (politics); Decomposition; Air quality index; Ozone","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":[0.0007350862,0.001084222,0.0004269213,0.0002568276,0.0004156911,0.0007991517,0.001188313,0.0007286099,0.001387873],"category_scores_gemma":[0.002530851,0.0003745561,0.0004818052,0.0003745074,0.0003198805,0.000812966,0.0004575183,0.001024027,0.0002924847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197288,"about_ca_system_score_gemma":0.00136872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06535065,"about_ca_topic_score_gemma":0.04286628,"domain_scores_codex":[0.9997514,0.00005335628,0.00002185415,0.00005413598,0.00008275047,0.00003656385],"domain_scores_gemma":[0.9991176,0.0003792441,0.00007578981,0.0001300608,0.0002430319,0.00005442529],"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":[0.0002682288,0.0002146989,0.02770402,0.00009129031,0.0001221224,0.0001216753,0.00006335579,0.9451987,0.01175214,0.0008036623,0.001284707,0.01237532],"study_design_scores_gemma":[0.00009831052,0.00006221636,0.0073256,0.000008637067,0.00002538089,0.00001548449,0.00003668782,0.9845982,0.006712064,0.0001450413,0.000951865,0.00002044268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769295,0.0001497259,0.01295454,0.0002981591,0.00009425595,0.00007830065,0.002458524,0.002011232,0.005025757],"genre_scores_gemma":[0.9869948,0.00004892505,0.009936055,0.00008111096,0.0000120243,0.00004762891,0.002089627,0.0002567908,0.0005329514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06535065,"threshold_uncertainty_score":0.1299405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163638201341914,"score_gpt":0.2295091562934362,"score_spread":0.2131453361592447,"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."}}