{"id":"W2932834204","doi":"10.1109/tgrs.2019.2901581","title":"Effect of Current on the First-Order Spectral Power of High-Frequency Radar","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Xiamen University; Wuhan University; Shanghai Jiao Tong University; Nanchang University; National Natural Science Foundation of China","keywords":"Radar; Current (fluid); Remote sensing; Wind wave; Geology; Refraction; Ocean current; Wave radar; Radar imaging; Continuous-wave radar; Acoustics; Computer science; Physics; Telecommunications; Optics","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":[0.0005163454,0.000506689,0.0002120774,0.0005219426,0.0001963174,0.0003697206,0.0003145855,0.0004202718,0.0007448881],"category_scores_gemma":[0.002922738,0.0001889513,0.0003098226,0.0003434526,0.000496851,0.001340442,0.0002840962,0.0003490402,0.0001995553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027202,"about_ca_system_score_gemma":0.0002015588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708688,"about_ca_topic_score_gemma":0.0008620815,"domain_scores_codex":[0.9997112,0.00005528431,0.0000143182,0.00005546201,0.000118398,0.00004534857],"domain_scores_gemma":[0.998718,0.0006887684,0.000133822,0.00009328892,0.000323331,0.00004277413],"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":[0.0006276431,0.000351694,0.05209474,0.0003361502,0.0001576122,0.001382273,0.0008900951,0.240426,0.4946419,0.00419565,0.001004029,0.2038921],"study_design_scores_gemma":[0.00004068823,0.0002425259,0.0577284,0.00002929794,0.00009718699,0.0005043659,0.0001718405,0.8199998,0.1186786,0.001325297,0.001122695,0.00005927701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339372,0.0004424339,0.1582198,0.0001878258,0.00009995141,0.00003497763,0.00006675773,0.0005175459,0.006493445],"genre_scores_gemma":[0.9928438,0.0001806542,0.006368258,0.00003246552,0.00001683201,0.000007166801,0.00004604014,0.00005394225,0.0004508185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001708688,"threshold_uncertainty_score":0.003397465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007594932877575157,"score_gpt":0.2135772169909848,"score_spread":0.2059822841134096,"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."}}