{"id":"W4392552461","doi":"10.1029/2023ms003799","title":"UQAM‐TCW: A Global Hybrid Tropical Cyclone Wind Model Based Upon Statistical and Coupled Climate Models","year":2024,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"Fonds de recherche du Québec; Natural Sciences and Engineering Research Council of Canada; Mitacs; Marine Environmental Observation Prediction and Response Network","keywords":"Tropical cyclone; Climatology; Environmental science; Climate model; Meteorology; General Circulation Model; Tropical cyclone forecast model; Atmospheric sciences; Climate change; Geography; Geology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004636133,0.0002352597,0.0005638205,0.0001715107,0.0001035273,0.0002933289,0.0002450018,0.0001011738,0.0000502576],"category_scores_gemma":[0.00007744287,0.000167649,0.0001094673,0.0002501025,0.0001112422,0.0009251175,0.00002328082,0.0005977385,0.00001790071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002716876,"about_ca_system_score_gemma":0.0001853487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624603,"about_ca_topic_score_gemma":0.0007453982,"domain_scores_codex":[0.9970801,0.0001755391,0.0009390535,0.0003699768,0.0008276359,0.0006076872],"domain_scores_gemma":[0.998948,0.0002932507,0.0001058376,0.0001449461,0.0001164474,0.0003915396],"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":[0.0004213502,0.00003041915,0.02177441,0.0003111387,0.00001572213,0.0003730791,0.00002222249,0.9658328,0.00001456743,0.002068732,0.000008637813,0.009126914],"study_design_scores_gemma":[0.0006343516,0.0003353376,0.003076903,0.0003915562,0.00002174534,0.0002348998,0.000047865,0.9848453,0.000001328367,0.0100354,0.000186823,0.0001885229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5282298,0.01963763,0.4510829,0.0001520553,0.0004235391,0.0001357195,0.0001520469,0.00002435296,0.0001620461],"genre_scores_gemma":[0.9868464,0.002700362,0.01009315,0.00003820529,0.000291294,0.00000107445,0.00001385557,0.000008811561,0.000006800714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4586167,"threshold_uncertainty_score":0.6836527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055354918038622,"score_gpt":0.282811612640524,"score_spread":0.2622580634601378,"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."}}