{"id":"W2903285127","doi":"10.3390/rs10121938","title":"Ocean Wind Retrieval Models for RADARSAT Constellation Mission Compact Polarimetry SAR","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; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Canadian Space Agency; National Oceanic and Atmospheric Administration; China Scholarship Council; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Remote sensing; Buoy; Synthetic aperture radar; Polarimetry; Wind direction; Radar; Wind speed; Geology; Geodesy; Computer science; Environmental science; Meteorology; Physics; Optics; Telecommunications","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":[0.000444269,0.0007609164,0.0004179366,0.0003624418,0.000230264,0.0005965286,0.000971547,0.0007253838,0.0006640466],"category_scores_gemma":[0.0009385998,0.0003117473,0.0006997769,0.0004161373,0.0001855655,0.001226368,0.0003618319,0.0006900112,0.0004374708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004589597,"about_ca_system_score_gemma":0.0005051647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332947,"about_ca_topic_score_gemma":0.007992383,"domain_scores_codex":[0.9998261,0.00003241512,0.00001190559,0.00004874965,0.00005567237,0.00002510382],"domain_scores_gemma":[0.9997774,0.00006909158,0.00004344091,0.0000220016,0.00007733493,0.00001076621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001650625,0.00001849593,0.001379108,0.0000288626,0.00002282814,0.00004367146,0.00001576179,0.9771675,0.002404597,0.002757138,0.0007103446,0.01543504],"study_design_scores_gemma":[0.000003059677,0.000003380467,0.0001779329,0.000001493999,0.000002977028,0.000005648561,0.000001754299,0.9989949,0.0001829669,0.0003730883,0.0002493219,0.000003509647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08508523,0.0009802935,0.9074343,0.0004144236,0.0001250611,0.0000707745,0.0009100229,0.0005557504,0.004424019],"genre_scores_gemma":[0.847618,0.001536153,0.1402987,0.0002827703,0.0002010963,0.0002704001,0.004021019,0.0002596235,0.005512263],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01332947,"threshold_uncertainty_score":0.0265038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036198835186239,"score_gpt":0.2512688871894196,"score_spread":0.2209068988375572,"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."}}