{"id":"W4292327149","doi":"10.1029/2022jd036675","title":"On the Effect of Historical SST Patterns on Radiative Feedback","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Climate variability and models","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China; H2020 European Research Council; Ministry of Education, Culture, Sports, Science and Technology; European Commission; National Oceanic and Atmospheric Administration; Sight Research UK; National Science Foundation; Department for Business, Energy and Industrial Strategy, UK Government; Natural Environment Research Council; Met Office; U.S. Department of Energy","keywords":"Climatology; Sea surface temperature; Environmental science; Climate model; Radiative transfer; Coupled model intercomparison project; Atmosphere (unit); General Circulation Model; Satellite; Atmospheric sciences; Atmospheric model; Climate change; Geology; Meteorology; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002573242,0.0001134773,0.0002832944,0.00001230688,0.0003290591,0.0000199695,0.000632638,0.00003067729,0.00503091],"category_scores_gemma":[0.001084286,0.0000651829,0.0002251955,0.0003620661,0.0002211505,0.00008266904,0.0004016871,0.001193952,0.000113255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304677,"about_ca_system_score_gemma":0.00003580784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037378,"about_ca_topic_score_gemma":0.00001769408,"domain_scores_codex":[0.995676,0.001495096,0.0003028767,0.0001884489,0.001997477,0.0003401144],"domain_scores_gemma":[0.9939151,0.005440447,0.0001728905,0.0002874456,0.0000328923,0.0001512538],"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":[0.02604911,0.0100302,0.1618631,0.0002371396,0.000598745,0.0005307403,0.006065942,0.2576155,0.0418408,0.02120491,0.4035614,0.07040243],"study_design_scores_gemma":[0.00915888,0.1693387,0.5819411,0.0004312763,0.0001705411,0.00006786586,0.002326606,0.03746931,0.02955623,0.09277348,0.07554572,0.001220268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994268,0.00001897907,0.00002808634,0.002110232,0.000124885,0.0002163632,0.00001144369,0.000003303058,0.003218735],"genre_scores_gemma":[0.9991505,0.00001385296,0.00002384566,0.00009234838,0.00009767681,0.00001912976,5.071638e-7,0.00001127486,0.0005908847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.420078,"threshold_uncertainty_score":0.9958786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221889879273352,"score_gpt":0.3041434854018493,"score_spread":0.2719245866091158,"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."}}