{"id":"W3107214106","doi":"10.5194/egusphere-egu2020-4920","title":"A CMIP6 multi-model study of fast responses on pre-industrial climate due to present-day aerosols","year":2020,"lang":"en","type":"article","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Coupled model intercomparison project; Environmental science; Climatology; Northern Hemisphere; Atmospheric sciences; Sulfate aerosol; Climate model; Radiative forcing; Southern Hemisphere; Precipitation; General Circulation Model; Meteorology; Climate change; Geography; 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":[0.00102586,0.001120567,0.0006279393,0.0004413794,0.000558534,0.0005465825,0.00111618,0.001502125,0.001079085],"category_scores_gemma":[0.001680719,0.0004226048,0.001417912,0.0005957289,0.0004087764,0.0006938002,0.0006553006,0.001061469,0.000160462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008955051,"about_ca_system_score_gemma":0.000550031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238956,"about_ca_topic_score_gemma":0.01153855,"domain_scores_codex":[0.9997314,0.0001018831,0.00001733218,0.00005957246,0.00002876898,0.00006122416],"domain_scores_gemma":[0.9989368,0.0005420426,0.0001093025,0.0001378349,0.0001422152,0.0001317789],"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":[0.0009697661,0.0006449712,0.06294793,0.0001519618,0.0006178928,0.0003661119,0.0001086994,0.9154105,0.01103221,0.00112244,0.001891457,0.00473597],"study_design_scores_gemma":[0.0002184328,0.000365631,0.05741967,0.00001009614,0.0001447567,0.00005460512,0.00008527203,0.9363221,0.004187058,0.0003517409,0.0007899388,0.00005072051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971475,0.0001242516,0.0005396031,0.0001612616,0.00002663751,0.00001794736,0.0009203145,0.00006755567,0.0009949767],"genre_scores_gemma":[0.9974699,0.00006920072,0.0008604978,0.00003917462,0.00001960541,0.00002810607,0.001270362,0.00002471247,0.0002184612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02238956,"threshold_uncertainty_score":0.04451847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07428031758315369,"score_gpt":0.278515315536328,"score_spread":0.2042349979531743,"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."}}