{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002211109,0.0002632044,0.0001166634,0.0002393416,0.0001117525,0.0002580354,0.0001492909,0.000180185,0.0009623482],"category_scores_gemma":[0.001379232,0.0001624753,0.0001616769,0.0003025549,0.0001140443,0.0002458594,0.0001063609,0.0001949261,0.0005747711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470093,"about_ca_system_score_gemma":0.0001418329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009446038,"about_ca_topic_score_gemma":0.009302899,"domain_scores_codex":[0.9998648,0.00001778053,0.000005000892,0.00003711819,0.00004501537,0.00003020388],"domain_scores_gemma":[0.9993035,0.0002570441,0.0000664226,0.00007108715,0.0002813555,0.00002049719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004678526,0.00007903936,0.3351415,0.00009798884,0.0001864731,0.0002665982,0.0001533621,0.3669781,0.235967,0.0009159533,0.001893341,0.0578529],"study_design_scores_gemma":[0.00002589074,0.0002964839,0.4523753,0.00001490048,0.00007867895,0.0004382182,0.00007486977,0.4621171,0.08227945,0.0003498435,0.001880938,0.00006827927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810465,0.00008296672,0.01557171,0.00002884681,0.000008555675,0.00001913784,0.0007265752,0.0004331722,0.002082499],"genre_scores_gemma":[0.9962846,0.00006666823,0.001982355,0.00001554794,0.000001800327,0.000008018798,0.001012956,0.00003398212,0.0005940925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009446038,"threshold_uncertainty_score":0.01878208,"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."}}