{"id":"W4408111630","doi":"10.5194/gmd-18-1307-2025","title":"High-Resolution Model Intercomparison Project phase 2 (HighResMIP2) towards CMIP7","year":2025,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"Department for Science, Innovation and Technology; HORIZON EUROPE Climate, Energy and Mobility; Pacific Northwest National Laboratory; Lawrence Livermore National Laboratory; Climate Program Office; Biological and Environmental Research; Horizon 2020; Natural Environment Research Council; National Key Research and Development Program of China; Gulf Research Program; Office of Science; National Academy of Sciences; National Oceanic and Atmospheric Administration; Ministry of Science and ICT, South Korea; Universität Hamburg; National Research Foundation of Korea; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; U.S. Geological Survey; Ministry of Education, Culture, Sports, Science and Technology; National Research Foundation; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Met Office; Deutsche Forschungsgemeinschaft; Sight Research UK; National Science Foundation; UK Research and Innovation; Seoul National University; Ministère des relations internationales et de la Francophonie; Government of the United Kingdom; Battelle; National Aeronautics and Space Administration; National Institute for Health and Care Research; Academia Sinica; European Commission; U.S. Department of Energy; HORIZON EUROPE Framework Programme; Nuclear Safety and Security Commission; Leverhulme Trust; Utah Department of Natural Resources; National Science and Technology Council","keywords":"Coupled model intercomparison project; Phase (matter); Environmental science; Resolution (logic); Computer science; Physics; General Circulation Model; Geology; Climate change; Artificial intelligence; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001230149,0.0003402732,0.000334621,0.0002439147,0.0006095478,0.0001652767,0.0006384688,0.0001561799,0.0003339176],"category_scores_gemma":[0.00004832726,0.0003195857,0.0001026143,0.0006960653,0.0002759308,0.0003661179,0.0009323817,0.0002323072,0.0003036585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009325341,"about_ca_system_score_gemma":0.0004353614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007218019,"about_ca_topic_score_gemma":0.0005686437,"domain_scores_codex":[0.996668,0.00006592837,0.0007080763,0.001139908,0.0006812158,0.0007368607],"domain_scores_gemma":[0.9989692,0.00002168906,0.0001198169,0.0007053716,0.00004268997,0.0001412137],"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":[0.0001151819,0.001090095,0.0002123608,0.00006164709,0.00002871871,0.000002318263,0.002357463,0.9143027,0.006136547,0.003182728,0.05360718,0.01890303],"study_design_scores_gemma":[0.0009166902,0.00001926684,0.000271279,0.00004743222,0.00002450597,0.000001039928,0.00005420451,0.972246,0.003220655,0.004317474,0.01853214,0.000349315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4920352,0.00001644849,0.4975158,0.000350632,0.0006045171,0.000578014,0.00005240809,0.0001418563,0.008705095],"genre_scores_gemma":[0.8785473,0.00001324566,0.1005005,0.0004714391,0.00001151694,0.0002460527,0.0001881016,0.00001925162,0.02000261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3970154,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997628518231061,"score_gpt":0.2981786986430661,"score_spread":0.2582024134607555,"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."}}