{"id":"W2931096512","doi":"10.1175/jas-d-18-0238.1","title":"An Evaluation of Hurricane Superintensity in Axisymmetric Numerical Models","year":2019,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Inviscid flow; Thermal wind; Physics; Wind speed; Mechanics; Wind gradient; Wind shear; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001477499,0.0006143288,0.0004560065,0.0007889284,0.0005524263,0.0008999364,0.0007002388,0.0006235389,0.0006962672],"category_scores_gemma":[0.006975373,0.0003164098,0.0003100995,0.0005819128,0.0009208456,0.0007452015,0.00105363,0.0006592931,0.00004830564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008928304,"about_ca_system_score_gemma":0.0006801342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000844,"about_ca_topic_score_gemma":0.006501762,"domain_scores_codex":[0.9995971,0.000184956,0.00002779279,0.00003760713,0.0001038954,0.00004869779],"domain_scores_gemma":[0.9963747,0.002132441,0.000639457,0.000333481,0.0003426645,0.000177168],"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":[0.0000499348,0.00003065613,0.006924135,0.0000202193,0.00001904187,0.00005716984,0.00004428153,0.9860746,0.001851689,0.003235183,0.00007230323,0.001620783],"study_design_scores_gemma":[0.000002385035,0.00001869104,0.0005170548,0.000003191268,0.000001748507,0.000005040353,0.000007991126,0.998723,0.0004157981,0.0002567758,0.00004559805,0.000002742678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968808,0.0001153787,0.02507015,0.0001536338,0.00001553951,0.00003819474,0.0001380468,0.0001534625,0.00550756],"genre_scores_gemma":[0.9960595,0.00002088459,0.003705118,0.000009322404,0.000002932225,0.00001680332,0.00004445944,0.00001613584,0.0001247878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000844,"threshold_uncertainty_score":0.01990032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.045092967842353,"score_gpt":0.2879066461317082,"score_spread":0.2428136782893552,"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."}}