{"id":"W4404114873","doi":"10.5194/gmd-17-7767-2024","title":"A fully coupled solid-particle microphysics scheme for stratospheric aerosol injections within the aerosol–chemistry–climate model SOCOL-AERv2","year":2024,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Eidgenössische Technische Hochschule Zürich; Science Foundation Ireland; Simons Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Aerosol; Atmospheric sciences; Environmental science; Meteorology; Particle (ecology); Stratosphere; Climate model; Atmospheric chemistry; Climatology; Physics; Ozone; Climate change; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003809609,0.0009280784,0.0008192636,0.0002919952,0.0005674016,0.000869333,0.001929926,0.001325354,0.004483559],"category_scores_gemma":[0.0006501172,0.0004481398,0.001128542,0.0003950937,0.0004594736,0.0006217029,0.0008030227,0.00114566,0.0005380413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132852,"about_ca_system_score_gemma":0.001974292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04024873,"about_ca_topic_score_gemma":0.02158181,"domain_scores_codex":[0.9998282,0.00004320509,0.000009229247,0.00003905709,0.00004480506,0.00003545744],"domain_scores_gemma":[0.999701,0.00008233312,0.00002827099,0.00004483859,0.00007527199,0.00006830311],"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":[0.0002125549,0.0001400911,0.00343551,0.00007659203,0.0001201263,0.0001065506,0.00004122934,0.9823514,0.005500544,0.002878276,0.001832603,0.003304484],"study_design_scores_gemma":[0.00009824463,0.0000272963,0.0006682497,0.000002700909,0.00001523468,0.000006614928,0.000007970085,0.9963449,0.0007913651,0.0003366483,0.001689848,0.00001097855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8860204,0.0004826649,0.05336186,0.0009503474,0.0005446561,0.0004353498,0.0154035,0.005021089,0.03778008],"genre_scores_gemma":[0.9572022,0.0001429214,0.02969036,0.0001868803,0.00007043132,0.000340338,0.006997815,0.0005341299,0.004834995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04024873,"threshold_uncertainty_score":0.08002889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483262007503421,"score_gpt":0.2487839202673465,"score_spread":0.2239513001923122,"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."}}