{"id":"W2077846631","doi":"10.1109/tgrs.2012.2194157","title":"Ocean Vector Winds Retrieval From C-Band Fully Polarimetric SAR Measurements","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Canadian Space Agency; National Oceanic and Atmospheric Administration; Nanjing University of Information Science and Technology; Nanjing University of Science and Technology","keywords":"Synthetic aperture radar; Remote sensing; Buoy; Polarimetry; Radar; Wind direction; Polarization (electrochemistry); Wind speed; Geology; Geodesy; Meteorology; Scattering; Physics; Computer science; Optics","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":[0.0001910269,0.0007496661,0.00041095,0.0005422785,0.0001771391,0.0006682497,0.0004532894,0.0004575289,0.0008131213],"category_scores_gemma":[0.0006699772,0.0004166666,0.0003353667,0.0006289584,0.0001229198,0.00074021,0.0005796317,0.0003644535,0.0005928961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658084,"about_ca_system_score_gemma":0.0007822764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004040406,"about_ca_topic_score_gemma":0.005528313,"domain_scores_codex":[0.9998916,0.00001389113,0.000008414467,0.00002584774,0.00004399382,0.00001610906],"domain_scores_gemma":[0.9998409,0.00002681663,0.00002669232,0.00003224699,0.00006148137,0.00001191205],"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":[0.0001850483,0.00009592593,0.007976952,0.0001911979,0.00009230589,0.000208249,0.00006679845,0.404459,0.1235435,0.004805628,0.003251128,0.4551243],"study_design_scores_gemma":[0.0000167963,0.00002391602,0.002692761,0.000007412158,0.000006783801,0.00003489737,0.000008854996,0.9886971,0.006541884,0.001023938,0.0009290388,0.00001666693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1342544,0.0002901626,0.8611387,0.00006531259,0.00005322906,0.00005685908,0.0007212529,0.00131857,0.002101475],"genre_scores_gemma":[0.4717222,0.0003646415,0.522563,0.00006328351,0.00004290102,0.0001058171,0.003173064,0.0001529006,0.001812119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004040406,"threshold_uncertainty_score":0.008033812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773811702344504,"score_gpt":0.2258708798710553,"score_spread":0.1981327628476103,"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."}}