{"id":"W2895974873","doi":"10.1029/2018gl079826","title":"Understanding Rapid Adjustments to Diverse Forcing Agents","year":2018,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions","funders":"H2020 European Research Council; Natural Environment Research Council; U.S. Department of Energy; European Commission; Japan Society for the Promotion of Science; Norges Forskningsråd; Environmental Restoration and Conservation Agency; National Aeronautics and Space Administration; Department for Environment, Food and Rural Affairs, UK Government; Goddard Space Flight Center; Grand Équipement National De Calcul Intensif; Sight Research UK; Alexander von Humboldt-Stiftung; Met Office","keywords":"Radiative forcing; Forcing (mathematics); Stratosphere; Environmental science; Cloud forcing; Atmospheric sciences; Troposphere; Tropospheric ozone; Climatology; Global warming; Perturbation (astronomy); Climate change; Meteorology; Physics; Geology; Aerosol","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003205102,0.0001579723,0.0001321918,0.00002209161,0.0005337561,0.00005326573,0.0004292908,0.00004526998,0.002224865],"category_scores_gemma":[0.00005232918,0.0001469356,0.00006778317,0.0005154238,0.0008246933,0.0002370285,0.0009977994,0.000265318,0.0069106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352166,"about_ca_system_score_gemma":0.000005823167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006966371,"about_ca_topic_score_gemma":0.00002753844,"domain_scores_codex":[0.9972213,0.0001090072,0.0001395657,0.000500244,0.001117473,0.000912416],"domain_scores_gemma":[0.9991487,0.00008149509,0.00002542296,0.0003405336,0.000005297575,0.0003985875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007489901,0.001086251,0.1191197,0.00004071108,0.0002104703,0.0003581103,0.008650353,0.02276489,0.3506683,0.002375718,0.4157178,0.07825881],"study_design_scores_gemma":[0.002942419,0.002741261,0.8386629,0.0001347885,0.00005981178,0.00001078309,0.006460825,0.05372914,0.004008851,0.007176817,0.08214552,0.001926943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653137,0.000001458058,0.02426726,0.001715985,0.0001545205,0.0003380976,0.00000205002,0.00003865625,0.008168284],"genre_scores_gemma":[0.9917368,0.000006511383,0.003649777,0.003300646,0.0002108523,0.00002469055,0.000002886257,0.0000260507,0.001041831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7195432,"threshold_uncertainty_score":0.9986872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096329321977149,"score_gpt":0.3194228132812397,"score_spread":0.2097898810835248,"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."}}