{"id":"W2896838519","doi":"10.3390/rs10101605","title":"Typhoon/Hurricane-Generated Wind Waves Inferred from SAR Imagery","year":2018,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"National Program on Global Change and Air-Sea Interaction; National Key Research and Development Program of China; Canadian Space Agency; National Natural Science Foundation of China; Nanjing University of Information Science and Technology; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; Office of Energy Research and Development; Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; Marine Environmental Observation Prediction and Response Network","keywords":"Fetch; Buoy; Wind wave; Typhoon; Wave model; Significant wave height; Wind wave model; Storm; Synthetic aperture radar; Wind speed; Meteorology; Geology; Mode (computer interface); Azimuth; Remote sensing; 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":[0.0003077903,0.0005693506,0.0002508106,0.0005122857,0.0001080555,0.0004255043,0.0002884615,0.000343063,0.0006403417],"category_scores_gemma":[0.0006032501,0.0002562871,0.0006014302,0.000364343,0.0001825658,0.0004992706,0.0002196097,0.0002596192,0.0002180615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121584,"about_ca_system_score_gemma":0.000390844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009539312,"about_ca_topic_score_gemma":0.009728292,"domain_scores_codex":[0.999904,0.00001785981,0.000007291315,0.00003102829,0.00001691117,0.00002282872],"domain_scores_gemma":[0.999854,0.00003639476,0.00003582843,0.00003191163,0.00002684723,0.00001499095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002127296,0.0002167698,0.1922337,0.0001034007,0.0001955635,0.0003033842,0.0001327845,0.7482541,0.02021864,0.0009841031,0.001136049,0.03600881],"study_design_scores_gemma":[0.00001647201,0.00005468883,0.07725779,0.00001237008,0.00002851117,0.00005613939,0.00005966344,0.9199116,0.001929098,0.0002421756,0.0004142562,0.00001723094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920186,0.00008858099,0.005704234,0.00003892001,0.000009120326,0.00002144703,0.0007510351,0.0001299206,0.001238206],"genre_scores_gemma":[0.9952006,0.0001001676,0.00252767,0.000009684762,0.000005321377,0.000009382587,0.001826067,0.00001738109,0.0003035927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009539312,"threshold_uncertainty_score":0.01896757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652320531713931,"score_gpt":0.2200504906932013,"score_spread":0.203527285376062,"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."}}