{"id":"W2771185917","doi":"10.3390/rs9121321","title":"Ocean Wind and Current Retrievals Based on Satellite SAR Measurements in Conjunction with Buoy and HF Radar Data","year":2017,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Office of Naval Research; Canadian Space Agency; National Key Research and Development Program of China; Global Change Research Program of China; National Natural Science Foundation of China","keywords":"Buoy; Remote sensing; Ocean current; Geology; Satellite; Synthetic aperture radar; Radar; Current (fluid); Environmental science; Ocean observations; Geodesy; Meteorology; Climatology; Computer science; Physics; Oceanography","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":[0.0002287157,0.0003686796,0.0004476293,0.0007402693,0.0001040619,0.0002757872,0.0001388836,0.000165571,0.0007032995],"category_scores_gemma":[0.0007907946,0.0001535198,0.0002060225,0.000597435,0.00009514806,0.0004210965,0.0001926199,0.00009742409,0.0003002034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006782359,"about_ca_system_score_gemma":0.0001679771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001659746,"about_ca_topic_score_gemma":0.002455309,"domain_scores_codex":[0.9998482,0.00002188471,0.00001384334,0.00003577056,0.0000559635,0.00002428218],"domain_scores_gemma":[0.9997806,0.00004243907,0.00004925437,0.00003172694,0.00007845645,0.0000175657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001074255,0.0002593874,0.1279576,0.0003597667,0.0001978078,0.0004402511,0.0001856941,0.04793988,0.4405818,0.0003478731,0.001668473,0.3789872],"study_design_scores_gemma":[0.0001967102,0.0006718425,0.6419378,0.00005199194,0.0002278256,0.000686184,0.0002033822,0.2769151,0.07583282,0.0003271752,0.002863152,0.00008601593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906178,0.0001569646,0.007705041,0.00001136321,0.00001572991,0.00001656723,0.0003935986,0.0001204649,0.0009624594],"genre_scores_gemma":[0.9762358,0.0001513319,0.02061445,0.000008649294,0.00001987899,0.00001986639,0.00243487,0.00002842026,0.0004866885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001659746,"threshold_uncertainty_score":0.00330019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06971222880457331,"score_gpt":0.2688168395526504,"score_spread":0.1991046107480771,"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."}}