{"id":"W4403439653","doi":"10.1029/2023ms004094","title":"Toward Fine Horizontal Resolution Global Simulations of Aerosol Sectional Microphysics: Advances Enabled by GCHP‐TOMAS","year":2024,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Environmental science; Aerosol; Atmospheric sciences; Meteorology; Horizontal resolution; Remote sensing; Climatology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003044348,0.0001657841,0.0003468659,0.00002309363,0.00007754752,0.00007606409,0.0001847108,0.00008487091,0.00006705353],"category_scores_gemma":[0.00004527236,0.0001373626,0.0001273628,0.0003732518,0.00006079648,0.001134322,0.000009427327,0.0002552955,0.000005801141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002959775,"about_ca_system_score_gemma":0.000134486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001824759,"about_ca_topic_score_gemma":0.0001725027,"domain_scores_codex":[0.9982047,0.0000635844,0.0008226548,0.0002157166,0.0004544583,0.0002389002],"domain_scores_gemma":[0.9992257,0.0001373786,0.0003054417,0.00009951868,0.0001446973,0.0000872674],"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":[0.0000995664,0.00001972858,0.005680376,0.0002265584,0.0000245291,0.00002022144,0.00006802903,0.9873032,0.003235692,0.00002838716,0.00003750489,0.003256235],"study_design_scores_gemma":[0.0004601688,0.0002560821,0.0001392999,0.0006944002,0.00002312726,0.0001672358,0.0003188117,0.9926414,0.001296603,0.0005840124,0.003217289,0.0002015437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837122,0.09487292,0.06482714,0.00005469468,0.001955503,0.0001464121,0.0003202799,0.00002696702,0.0006740956],"genre_scores_gemma":[0.9955682,0.00103086,0.002607326,0.000004951405,0.000685363,6.519566e-7,0.00003800711,0.000004858719,0.00005980856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1584462,"threshold_uncertainty_score":0.5601482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326920099843027,"score_gpt":0.246569577719199,"score_spread":0.2333003767207688,"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."}}