{"id":"W1648074782","doi":"10.1029/2009gl041780","title":"Depolarized radar return for breaking wave measurement and hurricane wind retrieval","year":2010,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Breaking wave; Radar; Wind speed; Wind wave; Physics; Scattering; Dissipation; Meteorology; Computational physics; Atmospheric sciences; Geology; Environmental science; Wave propagation; Optics; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004146761,0.0002916313,0.0001993558,0.0005745761,0.0000987372,0.0003081562,0.0001954008,0.0002173282,0.0008305914],"category_scores_gemma":[0.001101277,0.0001727991,0.000119392,0.0004605047,0.0001140502,0.0002815467,0.0003299869,0.0003025433,0.0003665592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008971501,"about_ca_system_score_gemma":0.0001184148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005889197,"about_ca_topic_score_gemma":0.00095692,"domain_scores_codex":[0.9998062,0.00007641481,0.00000709663,0.00002707184,0.00005645172,0.00002663835],"domain_scores_gemma":[0.9997341,0.00009993144,0.00003996676,0.00004913638,0.00005173135,0.00002520516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007371684,0.0001768163,0.05619592,0.0001195662,0.00007870098,0.0002673292,0.0001061724,0.02278537,0.6193818,0.004218478,0.001375524,0.2945572],"study_design_scores_gemma":[0.0000757247,0.0005444751,0.2082084,0.00003257715,0.00008666113,0.0009370254,0.0001981945,0.5855919,0.1954625,0.003536516,0.005222721,0.0001033465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8719632,0.0005352864,0.1229397,0.0001204127,0.0000318519,0.00003574245,0.0004982879,0.000438187,0.003437261],"genre_scores_gemma":[0.9508198,0.0002058592,0.04806675,0.0000302413,0.00001876218,0.00001628956,0.0003941812,0.00002683629,0.0004211528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008305914,"threshold_uncertainty_score":0.00277859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883675546433281,"score_gpt":0.2774457857182247,"score_spread":0.2286090302538919,"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."}}