{"id":"W2120477014","doi":"10.1109/oceans-spain.2011.6003556","title":"Sea surface current measurements at long range using lower-band high-frequency radar","year":2011,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Drifter; Radar; Remote sensing; Range (aeronautics); Wave radar; Current (fluid); Geology; Surface wave; Ocean current; Continuous-wave radar; Geodesy; Meteorology; Radar imaging; Physics; Telecommunications; Computer science; Oceanography; Engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002082765,0.0002581304,0.0002157549,0.0003860459,0.0004404777,0.0004893769,0.0003244656,0.0001920427,0.001053597],"category_scores_gemma":[0.0003801573,0.0001236868,0.00008776473,0.0006235125,0.0003354509,0.0003365436,0.0002200442,0.0004194054,0.000251343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181252,"about_ca_system_score_gemma":0.00135311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6487334,"about_ca_topic_score_gemma":0.8448597,"domain_scores_codex":[0.9997459,0.00001800082,0.000008335772,0.00004842123,0.000100095,0.00007919243],"domain_scores_gemma":[0.9994864,0.00004131871,0.00005313215,0.0000234429,0.0003370494,0.00005858315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006660635,0.0003673858,0.5437775,0.0001284713,0.0001319793,0.0004588234,0.001208203,0.005274511,0.3756712,0.0002395258,0.002819399,0.06925685],"study_design_scores_gemma":[0.00006299706,0.0001971241,0.9799402,0.00001191676,0.00004753667,0.0001237053,0.0003599875,0.003617915,0.01374908,0.00002216812,0.001837805,0.00002945834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997366,0.00007075088,0.0005309336,0.00003811845,0.000005155103,0.00001017104,0.000355605,0.00003235797,0.001591074],"genre_scores_gemma":[0.9959585,0.0001122309,0.001583316,0.00004878509,0.00000632139,0.00001363636,0.0008990224,0.00000679936,0.001371476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6487334,"threshold_uncertainty_score":0.7066706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0940309503806935,"score_gpt":0.2374345478715639,"score_spread":0.1434035974908704,"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."}}