{"id":"W2921025948","doi":"10.1029/2018ms001603","title":"The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution","year":2019,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Climate variability and models","field":"Environmental Science","cited_by":896,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workers Compensation Board of Alberta; University of British Columbia","funders":"Biological and Environmental Research; Office of Science; National Research Foundation; U.S. Department of Energy","keywords":"Climatology; Climate model; Coupled model intercomparison project; Environmental science; Radiative forcing; Forcing (mathematics); Earth system science; Predictability; Meteorology; Atmospheric sciences; Aerosol; Geology; Climate change; Geography; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.003729003,0.00008938769,0.0002014922,0.00003463566,0.0001420941,0.00004088102,0.0001256477,0.00005356011,0.00003454352],"category_scores_gemma":[0.00007066293,0.00006003639,0.00004529035,0.0000887372,0.00004341026,0.0006711458,0.00008534906,0.0001452602,0.00001452991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403449,"about_ca_system_score_gemma":0.00002960417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000463796,"about_ca_topic_score_gemma":0.0001581667,"domain_scores_codex":[0.9982811,0.0001486066,0.0005007641,0.0001582298,0.000743588,0.0001677347],"domain_scores_gemma":[0.999315,0.0001111039,0.0002829016,0.000174514,0.00006544444,0.00005105155],"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":[0.0001755495,0.000009137498,0.002208421,0.00003428604,0.000002851624,5.384132e-7,0.0001588256,0.9956648,0.0008359388,0.00009656177,0.00001380479,0.0007992235],"study_design_scores_gemma":[0.0007272132,0.00008727788,0.0001271783,0.000215007,0.00001364889,0.00001938872,0.0001613417,0.9951777,0.000009434661,0.001921245,0.001468528,0.00007197586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772366,0.009641349,0.0116668,0.00009114178,0.0004461259,0.0003374885,0.000003892736,0.000004598196,0.0005720468],"genre_scores_gemma":[0.9920349,0.007049325,0.0007806133,0.00001596686,0.00002879578,0.00000363812,0.000001153446,0.000006502214,0.00007910562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01479834,"threshold_uncertainty_score":0.2448213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957760213283273,"score_gpt":0.2961470223610742,"score_spread":0.2665694202282415,"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."}}