{"id":"W2154489866","doi":"10.1002/2013ms000246","title":"CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models","year":2013,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Climate variability and models","field":"Environmental Science","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of British Columbia","funders":"Seoul National University; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; European Commission; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration; Commonwealth Scientific and Industrial Research Organisation; Met Office; U.S. Department of Energy; Stony Brook University; National Science Foundation","keywords":"Subsidence; Marine stratocumulus; Cloud feedback; Environmental science; Convection; Climate model; Positive feedback; Atmospheric sciences; Climatology; Cloud computing; Drizzle; Precipitation; Meteorology; Geology; Climate change; Climate sensitivity; Geography; Oceanography; Computer science; Structural basin","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":[0.001660587,0.00178975,0.0009771367,0.0006563619,0.0004213841,0.000887925,0.002292611,0.0008953835,0.002164789],"category_scores_gemma":[0.00204106,0.0004401772,0.00122586,0.0007116765,0.0004994846,0.001199016,0.0008107669,0.001074817,0.0002767998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084468,"about_ca_system_score_gemma":0.001106558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04632488,"about_ca_topic_score_gemma":0.02792322,"domain_scores_codex":[0.9995834,0.0001067987,0.00002877268,0.00008970894,0.0001021395,0.00008921717],"domain_scores_gemma":[0.9982119,0.0005924766,0.0001350491,0.0003886295,0.0003997318,0.0002722747],"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":[0.0009537059,0.0008996979,0.04429429,0.0002604178,0.0004058863,0.0001580189,0.0001442178,0.9158473,0.0116861,0.00143744,0.009182219,0.01473073],"study_design_scores_gemma":[0.0006229646,0.0002866166,0.02226669,0.00001734705,0.0001002027,0.00003244991,0.00004721493,0.9650253,0.008793733,0.0004680041,0.002277341,0.00006218607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514625,0.0002596661,0.00885751,0.0004506248,0.00008079678,0.0001895006,0.02628837,0.006451438,0.005959692],"genre_scores_gemma":[0.9546921,0.0001277554,0.01310297,0.00015404,0.00005518129,0.0002395284,0.03010328,0.0006595433,0.0008655716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04632488,"threshold_uncertainty_score":0.09211046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465192829414436,"score_gpt":0.2979993246328816,"score_spread":0.2514800416914381,"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."}}