{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01774705,0.002078135,0.001215038,0.001394066,0.0008598464,0.002230674,0.003927139,0.002297421,0.006299993],"category_scores_gemma":[0.006617336,0.0006337297,0.001619036,0.003237269,0.0006408359,0.002429241,0.002888927,0.003316772,0.002665225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590678,"about_ca_system_score_gemma":0.006026566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873149,"about_ca_topic_score_gemma":0.01130911,"domain_scores_codex":[0.9974009,0.001369701,0.00009886456,0.000360302,0.0005395313,0.0002307677],"domain_scores_gemma":[0.9954773,0.0005194742,0.0003368937,0.0008707146,0.002267465,0.0005282088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002733876,0.0007164231,0.03610726,0.002179189,0.003587223,0.0004916178,0.0005591702,0.2791015,0.01529978,0.05128749,0.4471607,0.1607758],"study_design_scores_gemma":[0.005622426,0.0008003284,0.05428127,0.001167627,0.0009533638,0.0001609873,0.000413727,0.396586,0.03425017,0.03254659,0.472783,0.0004344162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1979979,0.007313339,0.2425299,0.02841893,0.007720581,0.00350848,0.4483826,0.01607113,0.04805722],"genre_scores_gemma":[0.2450698,0.001819394,0.3327021,0.003931743,0.000906677,0.006397617,0.4000987,0.003393333,0.005680656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01873149,"threshold_uncertainty_score":0.09385651,"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."}}