{"id":"W3217071176","doi":"10.1109/tgrs.2021.3131004","title":"Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Key Research and Development Program of China; Dalhousie University; Chinese Academy of Sciences; European Space Agency; National Natural Science Foundation of China; Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; Marine Environmental Observation Prediction and Response Network","keywords":"Tropical cyclone; Remote sensing; Meteorology; Center (category theory); Data center; Geology; Environmental science; Climatology; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003862307,0.000441699,0.0002797017,0.001679353,0.0002104745,0.0004158895,0.0003967174,0.0001761083,0.000472845],"category_scores_gemma":[0.001293621,0.0002204026,0.0003024196,0.001010176,0.0001203411,0.0005151753,0.0004134458,0.0002607959,0.0002035537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251773,"about_ca_system_score_gemma":0.0004664686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008583262,"about_ca_topic_score_gemma":0.01117138,"domain_scores_codex":[0.9997864,0.0000415945,0.0000105178,0.00006100157,0.00006875409,0.00003166683],"domain_scores_gemma":[0.9995211,0.00007457542,0.0001690493,0.00007686254,0.0001288226,0.0000295022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001651708,0.0001929354,0.4285724,0.00009811859,0.0002744774,0.0002176796,0.0001964046,0.1387984,0.05593845,0.002091667,0.002448309,0.3710059],"study_design_scores_gemma":[0.00003127622,0.00008597357,0.2023149,0.00001539434,0.00004369937,0.000100298,0.00008513791,0.7858997,0.009094816,0.0008391551,0.001451369,0.00003831612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7912509,0.0001460963,0.204675,0.00005802633,0.00001914272,0.00006813921,0.001338303,0.0006674209,0.001776937],"genre_scores_gemma":[0.9172508,0.00007047797,0.07979051,0.00001301802,0.0000346563,0.00004705801,0.002434209,0.00003683487,0.000322411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008583262,"threshold_uncertainty_score":0.0170666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004291636420811,"score_gpt":0.2569292427896524,"score_spread":0.2268863264254443,"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."}}