{"id":"W2164611644","doi":"10.1109/igarss.1999.772120","title":"Radar cross section dependence on wind speed","year":2003,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scatterometer; Wind speed; Beamwidth; Radar; Radar cross-section; Tower; Rayleigh distribution; Meteorology; Environmental science; Wind profile power law; Remote sensing; Wind direction; Physics; Rayleigh scattering; Geology; Geodesy; Optics; Electrical engineering; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001413002,0.00007158403,0.00006207691,0.00003169621,0.0001556565,0.00007285236,0.00004380689,0.00004831055,0.002170335],"category_scores_gemma":[0.00002462264,0.00005050428,0.00003120514,0.0001017479,0.00003460817,0.0001040195,0.000001312784,0.00009380608,0.00045004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002383252,"about_ca_system_score_gemma":0.00001689384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005251115,"about_ca_topic_score_gemma":0.0002653113,"domain_scores_codex":[0.9993814,0.00003484192,0.00008614137,0.0001634669,0.0001550181,0.0001791524],"domain_scores_gemma":[0.9997545,0.00003954926,0.00002278225,0.00009787677,0.00001434337,0.0000709105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002698016,0.0001138218,0.6446246,0.00005239982,0.00007735948,0.0003277665,0.0006550453,0.1519289,0.002044642,0.002368116,0.006032537,0.1915051],"study_design_scores_gemma":[0.0008351938,0.0004921021,0.8975686,0.00003306897,0.00001201656,0.0003100446,0.0004243628,0.03881585,0.01215201,0.002201268,0.04659081,0.0005646338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7706938,0.00003104455,0.00002970375,0.00003545987,0.0009722121,0.00004146328,0.000002067717,0.00002696784,0.2281673],"genre_scores_gemma":[0.9911876,0.00001018545,0.001009611,0.0002626706,0.0001260482,6.113415e-11,0.000005792135,0.000001818306,0.007396244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2529441,"threshold_uncertainty_score":0.9987418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494006502017989,"score_gpt":0.2231448451206832,"score_spread":0.2082047801005034,"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."}}