{"id":"W2791726541","doi":"10.5194/acp-18-10133-2018","title":"Extreme temperature and precipitation response to solar dimming and stratospheric aerosol geoengineering","year":2018,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Pacific Institute for Climate Solutions; University of Victoria","funders":"Pacific Northwest National Laboratory; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Norges Forskningsråd; Battelle; U.S. Department of Energy","keywords":"Environmental science; Atmospheric sciences; Climatology; Radiative forcing; Precipitation; Aerosol; Climate model; Stratosphere; Forcing (mathematics); Coupled model intercomparison project; Geoengineering; Snow; Climate change; Meteorology; Geology; Oceanography","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":[0.0003758875,0.0003955243,0.0002661397,0.0001933621,0.0002144227,0.0003673999,0.0003227013,0.0004829832,0.0009233803],"category_scores_gemma":[0.0004403149,0.0001150803,0.0004441041,0.0001914914,0.0002562445,0.0002502173,0.0003048757,0.000390925,0.00006914807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042753,"about_ca_system_score_gemma":0.0001494001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902916,"about_ca_topic_score_gemma":0.00217749,"domain_scores_codex":[0.9999033,0.00003746448,0.000004221682,0.00002224495,0.00001226235,0.00002054318],"domain_scores_gemma":[0.9997439,0.0001072445,0.00004301099,0.00002994535,0.00002578402,0.00005012684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006244655,0.001876113,0.3642688,0.0001791556,0.0006938652,0.0005159898,0.0001451644,0.3046819,0.3049537,0.0011138,0.001203283,0.01412354],"study_design_scores_gemma":[0.0008307365,0.003646242,0.6086534,0.000008743064,0.0002156936,0.00008258972,0.0001913266,0.3121246,0.07199349,0.00100774,0.001169933,0.00007556025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993067,0.00001419157,0.0001669232,0.00002260039,0.0000046547,0.000005622774,0.0002062531,0.00001546007,0.0002574922],"genre_scores_gemma":[0.9994722,0.00001025314,0.0001709982,0.00001757602,0.000003536977,0.0000118608,0.000243623,0.00000346512,0.00006645803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002902916,"threshold_uncertainty_score":0.005772054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008329421570294458,"score_gpt":0.2004652048738063,"score_spread":0.1921357833035119,"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."}}