{"id":"W4391480574","doi":"10.1029/2023ms003700","title":"The Green's Function Model Intercomparison Project (GFMIP) Protocol","year":2024,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Climate variability and models","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"HORIZON EUROPE European Research Council; Nuclear Safety and Security Commission; European Commission; Sight Research UK; National Aeronautics and Space Administration; Natural Environment Research Council; U.S. Department of Energy; National Science Foundation","keywords":"Radiative transfer; Environmental science; Atmosphere (unit); Coupled model intercomparison project; Atmospheric circulation; Climate model; Atmospheric model; Atmospheric sciences; Meteorology; Atmospheric temperature; General Circulation Model; Climatology; Climate change; Geology; 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":[0.001827114,0.0001349841,0.0002214729,0.00008760423,0.0001114677,0.0001589593,0.0002599413,0.00006212254,0.000009589029],"category_scores_gemma":[0.0000397061,0.00008217811,0.0001028155,0.0002370004,0.00006070228,0.001076773,0.00007379883,0.0004003695,0.00001828423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462545,"about_ca_system_score_gemma":0.00005407289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001483984,"about_ca_topic_score_gemma":0.0003362187,"domain_scores_codex":[0.9981751,0.0001216233,0.000796171,0.0002063626,0.0004623586,0.0002383586],"domain_scores_gemma":[0.9994407,0.0001063555,0.0001857508,0.000188005,0.00003188757,0.00004735163],"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":[0.000137562,0.00003323913,0.0003371576,0.0001310963,0.000007443383,0.000006610134,0.0004407992,0.9924062,0.0001938254,0.0003330112,0.0001033434,0.005869656],"study_design_scores_gemma":[0.0002177426,0.0001379942,0.000006876168,0.0003653167,0.000009684464,0.00004766008,0.0003353069,0.9662853,0.00000804845,0.003382878,0.02911014,0.00009303806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1299414,0.002750304,0.8367199,0.0004134647,0.002496004,0.02242275,0.000006478937,0.00008737182,0.005162375],"genre_scores_gemma":[0.9955423,0.0001785323,0.001446184,0.00002469072,0.0001997057,0.002261036,4.407716e-7,0.00001966322,0.0003273754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.865601,"threshold_uncertainty_score":0.3351126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381125400875643,"score_gpt":0.3242230174514257,"score_spread":0.2904117634426693,"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."}}