{"id":"W4376141722","doi":"10.5194/gmd-2023-87","title":"DCMIP2016: the tropical cyclone test case","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Office of Naval Research; Office of Science; National Aeronautics and Space Administration; University of California, Davis; U.S. Department of Energy; University of Colorado Boulder; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"Tropical cyclone; Grid; Wind speed; Meteorology; Vortex; Maximum sustained wind; GCM transcription factors; Climatology; Storm; Cyclone (programming language); Atmospheric sciences; Core (optical fiber); General Circulation Model; Surface pressure; Environmental science; Work (physics); Geology; Physics; Wind shear; Geodesy; Wind gradient; Computer science; Climate change","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001914917,0.0003277381,0.0003686067,0.00008525923,0.0003982952,0.0003357045,0.0008664299,0.0003698769,0.008637524],"category_scores_gemma":[0.000417679,0.0001669523,0.0002598649,0.0002805721,0.0003726783,0.00005958742,0.000357903,0.00164364,0.007945073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008810064,"about_ca_system_score_gemma":0.0001107607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03817519,"about_ca_topic_score_gemma":0.08319534,"domain_scores_codex":[0.9972604,0.0002177712,0.000420338,0.0006868746,0.0006624626,0.0007521506],"domain_scores_gemma":[0.9971015,0.00161793,0.00006643419,0.000759617,0.00006608306,0.0003883928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000387426,0.0000490096,0.94618,0.0000934814,0.00005509408,0.007144383,0.00004329283,0.0009090495,0.000003793813,0.000682368,0.01325945,0.03154135],"study_design_scores_gemma":[0.0001689578,0.0001440767,0.967198,0.00002176758,0.00002750633,0.0007929938,0.00008696022,0.008143827,0.000007272573,0.01015462,0.01293845,0.0003155339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563931,0.0007889182,0.001092193,0.02356015,0.001831916,0.0008910812,0.0006821444,0.0006483948,0.01411207],"genre_scores_gemma":[0.9918253,0.0002532766,0.0006648722,0.0003680223,0.001095667,0.00001239751,0.0001416816,0.00001262876,0.005626175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04502014,"threshold_uncertainty_score":0.9928274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06361185873463114,"score_gpt":0.2823900308262211,"score_spread":0.21877817209159,"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."}}