{"id":"W2115247641","doi":"10.1175/bams-d-12-00121.1","title":"The Community Earth System Model: A Framework for Collaborative Research","year":2013,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2821,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"Pacific Northwest National Laboratory; Oak Ridge National Laboratory; Battelle; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Earth system science; Thermosphere; Interoperability; Earth science; Documentation; Computer science; Systems engineering; Workflow; Variety (cybernetics); Climate model; Atmosphere (unit); Environmental science; Climate change; Meteorology; Geography; Engineering; Geology; Geophysics","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":[0.006374165,0.00155265,0.001717569,0.002250279,0.001770495,0.00443748,0.005993059,0.002771527,0.01111953],"category_scores_gemma":[0.02201868,0.001133718,0.002001227,0.00441578,0.001384684,0.004977865,0.00457644,0.003053013,0.0033911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282001,"about_ca_system_score_gemma":0.006678443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0408612,"about_ca_topic_score_gemma":0.02720886,"domain_scores_codex":[0.9975538,0.001491682,0.0001688777,0.0002486208,0.0004244378,0.0001126835],"domain_scores_gemma":[0.9937152,0.003464343,0.0003097381,0.001163151,0.000826055,0.0005214397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007373853,0.00008293643,0.001461021,0.0002470585,0.000271624,0.0001496879,0.0003143223,0.5959367,0.000196774,0.3293354,0.03917426,0.03275647],"study_design_scores_gemma":[0.0001512416,0.00001898284,0.0002222554,0.00008373114,0.00006263152,0.00004579712,0.00007501696,0.67399,0.0001623949,0.2557915,0.06934184,0.00005457366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003136684,0.0006405459,0.9514295,0.003061699,0.0002891564,0.0003944008,0.00927041,0.00862904,0.0231486],"genre_scores_gemma":[0.1226961,0.001709363,0.851058,0.0003794449,0.0002476543,0.002597478,0.01188975,0.003070655,0.006351492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0408612,"threshold_uncertainty_score":0.08124667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896470003465758,"score_gpt":0.2759137430491249,"score_spread":0.2469490430144673,"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."}}