{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002054876,0.0002757347,0.0003211915,0.0001366144,0.0004187101,0.0001372235,0.0001286026,0.000149989,0.0004912461],"category_scores_gemma":[0.0001076581,0.0002317577,0.0001048327,0.0004269841,0.0002892812,0.0001968445,0.00002592407,0.0002419075,0.0009205565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001348123,"about_ca_system_score_gemma":0.00008623443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007278455,"about_ca_topic_score_gemma":0.000686541,"domain_scores_codex":[0.9981412,0.0001408887,0.0003466282,0.0005036254,0.0002934995,0.0005741214],"domain_scores_gemma":[0.9989499,0.0001481059,0.0001375441,0.0003923113,0.0001407801,0.0002313416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007664076,0.000006768264,0.0007222317,0.000009316833,0.00007714105,0.0002523038,0.0006871715,0.0008805391,0.01765743,0.000001301728,0.002262481,0.9773667],"study_design_scores_gemma":[0.000346678,0.00009512137,0.01605362,0.0001191569,0.00004520086,0.000134735,0.0002860819,0.9627849,0.008557455,0.001027034,0.01006102,0.000488921],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757529,0.0004836014,0.0007986569,0.0003122655,0.001439327,0.0001154101,0.000037549,0.0001512732,0.020909],"genre_scores_gemma":[0.9545108,0.00007193066,0.04192317,0.0007437468,0.002012323,6.535221e-12,0.0001811377,0.00001872712,0.0005381714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9768777,"threshold_uncertainty_score":0.9998574,"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."}}