{"id":"W2792696662","doi":"10.3390/rs10020261","title":"Wind Direction Extraction from SAR in Coastal Areas","year":2018,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Synthetic aperture radar; Remote sensing; Wind speed; Scatterometer; Environmental science; Geology; Wind direction; Meteorology; Radar; Continuous wavelet transform; Geodesy; Wavelet transform; Wavelet; Computer science; Geography; Discrete wavelet transform","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":[0.0003232312,0.0006233046,0.0003084269,0.001434544,0.0001155052,0.0004963928,0.0001996989,0.0002532208,0.0007405515],"category_scores_gemma":[0.0007772393,0.0002122574,0.0003585684,0.001140895,0.0001142124,0.0004266302,0.0002898418,0.0002203644,0.0008624623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006932105,"about_ca_system_score_gemma":0.0002165895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067365,"about_ca_topic_score_gemma":0.001738325,"domain_scores_codex":[0.9998709,0.00002307649,0.00001189458,0.00003564374,0.00004204708,0.00001642563],"domain_scores_gemma":[0.9998066,0.00004097676,0.0000311149,0.00002557527,0.00008364345,0.00001206684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003824361,0.0001188247,0.03905183,0.0005159108,0.00009256146,0.00104532,0.0002540187,0.06658314,0.2414076,0.001176331,0.003724705,0.6456473],"study_design_scores_gemma":[0.0001258604,0.0003719312,0.2102995,0.0001882563,0.0001944565,0.001645061,0.0006002024,0.6437508,0.1201276,0.002322764,0.02026582,0.000107787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6400313,0.0009052399,0.3472296,0.000112623,0.0001801223,0.000149125,0.002024748,0.001570569,0.007796563],"genre_scores_gemma":[0.7182549,0.001223653,0.2711557,0.00006878124,0.00009509105,0.00009608487,0.005159062,0.0002100833,0.00373668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001434544,"threshold_uncertainty_score":0.002477407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405351578655878,"score_gpt":0.2284834661319964,"score_spread":0.2144299503454376,"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."}}