{"id":"W4239937280","doi":"10.5194/acp-2018-876","title":"Sensitivity of Arctic sulfate aerosol and clouds to changes in futuresurface seawater dimethylsulfide concentrations","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":10,"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; Sulfate; Aerosol; Environmental science; Arctic; Seawater; Atmospheric sciences; Sulfate aerosol; Arctic geoengineering; Radiative forcing; Sea ice; Climatology; Sea salt aerosol; Environmental chemistry; Sea salt; Chemistry; Oceanography; Arctic ice pack; Meteorology; Geology; Geography","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":[0.0003191093,0.0005561591,0.0002826262,0.0002438847,0.0003763199,0.0006584909,0.000317738,0.0005972818,0.0007425231],"category_scores_gemma":[0.0006873492,0.0003019428,0.0007677451,0.0002431897,0.0002362034,0.0002981378,0.0002774174,0.0004041261,0.0001134491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009879825,"about_ca_system_score_gemma":0.0006079936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06245097,"about_ca_topic_score_gemma":0.02771902,"domain_scores_codex":[0.999877,0.00002554016,0.000008943451,0.00003061302,0.00001784118,0.00004008761],"domain_scores_gemma":[0.9997032,0.0001254624,0.00004435669,0.00002293765,0.00006339216,0.0000406546],"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":[0.0004788569,0.0001853205,0.1502062,0.00006682349,0.0003137865,0.0002947989,0.00006168416,0.8122658,0.03242161,0.0004515361,0.0003609309,0.002892562],"study_design_scores_gemma":[0.00008862873,0.0003185455,0.1201796,0.00001723993,0.0001276665,0.00006689717,0.0001409359,0.8596881,0.01847927,0.000238558,0.0006141438,0.00004032228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986742,0.00004853965,0.0002613612,0.00003357191,0.00001044537,0.000004590016,0.0003493645,0.00002849855,0.000589382],"genre_scores_gemma":[0.999196,0.00003857309,0.0002305215,0.00001230216,0.000002198343,0.000003557637,0.0003901912,0.000004573384,0.00012216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06245097,"threshold_uncertainty_score":0.124175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649034137874029,"score_gpt":0.2354847282275171,"score_spread":0.2189943868487768,"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."}}