{"id":"W2889698793","doi":"10.5194/acp-19-6419-2019","title":"Sensitivity of Arctic sulfate aerosol and clouds to changes in future surface seawater dimethylsulfide concentrations","year":2019,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Calgary; University of Victoria; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration","keywords":"Cloud condensation nuclei; Aerosol; Sulfate; Arctic; Environmental science; Seawater; Arctic geoengineering; Atmospheric sciences; Sulfate aerosol; Radiative forcing; Sea ice; Sea salt aerosol; Dimethyl sulfide; Climatology; Precipitation; Sea salt; Chemistry; Oceanography; Arctic ice pack; Meteorology; Sulfur; Geology","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":[0.0004255759,0.0005372223,0.0002841295,0.0002488045,0.0003765171,0.0007256486,0.0003305814,0.0006938732,0.0007494572],"category_scores_gemma":[0.0009170998,0.0003091163,0.0008016526,0.000243731,0.0002434303,0.0003594105,0.0002923582,0.0004316383,0.0001140836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042294,"about_ca_system_score_gemma":0.0006191036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05637206,"about_ca_topic_score_gemma":0.02519929,"domain_scores_codex":[0.9998611,0.00003084493,0.00001084595,0.00003502519,0.00001993395,0.00004226162],"domain_scores_gemma":[0.9995945,0.0001804967,0.00006111377,0.00003110522,0.00008236769,0.00005048056],"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":[0.0004688085,0.0001739341,0.1988878,0.00006305647,0.0003267359,0.0003262368,0.00006364285,0.7741581,0.02195549,0.0004061142,0.0003413444,0.002828813],"study_design_scores_gemma":[0.00008605932,0.000330491,0.1617105,0.00001861726,0.0001466252,0.00008695369,0.0001565492,0.8218985,0.01467815,0.0002464862,0.0005976756,0.00004339853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988369,0.00004194087,0.0002410754,0.00003491312,0.000009220632,0.000004436309,0.0003299604,0.00002435637,0.0004772711],"genre_scores_gemma":[0.999262,0.00003470779,0.0002016863,0.00001139052,0.000002294396,0.000003515426,0.0003823859,0.000003744365,0.00009830222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05637206,"threshold_uncertainty_score":0.1120878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005806241116130121,"score_gpt":0.1953558618541374,"score_spread":0.1895496207380073,"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."}}