{"id":"W2024557598","doi":"10.1007/s00376-014-4063-x","title":"Identification and analysis of high-frequency oscillations in the eyewalls of tropical cyclones","year":2015,"lang":"en","type":"article","venue":"Advances in Atmospheric Sciences","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Eye; Tropical cyclone; Typhoon; Meteorology; Climatology; Frequency analysis; Geology; Environmental science; Atmospheric sciences; Mathematics; 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":[0.0004298693,0.00007106984,0.0002282405,0.00004577814,0.00005654055,0.00002854715,0.0003827728,0.00003398456,0.00008290323],"category_scores_gemma":[0.0003023171,0.00004229041,0.00003334978,0.003964275,0.0007916468,0.0004215222,0.00001424582,0.00008163769,0.000002923647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004897403,"about_ca_system_score_gemma":0.00005183242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006192912,"about_ca_topic_score_gemma":0.02543063,"domain_scores_codex":[0.9985055,0.000166352,0.000377727,0.0002323364,0.000523917,0.0001941788],"domain_scores_gemma":[0.9992005,0.0004419644,0.0001039397,0.0001408153,0.00005655289,0.00005627768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001172072,0.00002375827,0.9588814,0.000006943532,0.000005962627,0.000001435767,0.0002531589,0.02185156,0.00002758861,0.003408732,0.000001228404,0.01552654],"study_design_scores_gemma":[0.0001224888,0.0001170194,0.9696127,0.000006200729,0.00001639656,8.822007e-7,0.0006641836,0.01684377,0.00001487469,0.01249,0.00005970246,0.00005180636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941397,0.003883449,0.000569519,0.0004035123,0.00007425357,0.0001007237,0.00001109648,0.00000421713,0.0008135544],"genre_scores_gemma":[0.9947743,0.0006784937,0.00449759,0.00002137264,0.00001315583,0.000002330009,0.000005258868,6.802548e-7,0.000006850531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01923772,"threshold_uncertainty_score":0.9923527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303664581257264,"score_gpt":0.2930196631232152,"score_spread":0.2699830173106426,"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."}}