{"id":"W2507735524","doi":"10.1109/joe.2016.2591718","title":"Comparison of Spectral Estimation Methods for Rapidly Varying Currents Obtained by High-Frequency Radar","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Root mean square; Radar; Mathematics; Doppler effect; SIGNAL (programming language); Noise (video); Mean squared error; Signal-to-noise ratio (imaging); Spectral density estimation; Centroid; Series (stratigraphy); Autoregressive model; Algorithm; Statistics; Physics; Computer science; Fourier transform; Mathematical analysis; Telecommunications; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003611045,0.0006486743,0.0004244011,0.002423157,0.0002133785,0.0006305114,0.000631152,0.0006894772,0.0006989697],"category_scores_gemma":[0.009674911,0.0002332415,0.0005236961,0.001198595,0.0002522745,0.001476747,0.0003721033,0.0004488951,0.0003863721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298185,"about_ca_system_score_gemma":0.0004252041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152092,"about_ca_topic_score_gemma":0.001452942,"domain_scores_codex":[0.9986877,0.0004456908,0.00009526453,0.0001350787,0.0005708468,0.00006546143],"domain_scores_gemma":[0.9950958,0.00295468,0.0003301483,0.0002411713,0.001322421,0.00005572019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009715758,0.000279837,0.0134604,0.0007445295,0.000319831,0.0001455309,0.0004600542,0.06557715,0.08560511,0.002974502,0.0005835078,0.828878],"study_design_scores_gemma":[0.0001297563,0.0007880809,0.05321589,0.0001129034,0.0002412612,0.0006354986,0.0005021802,0.8275138,0.1110166,0.001759757,0.003929771,0.000154528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.225296,0.001490259,0.7695596,0.0001299814,0.0001008404,0.0001031813,0.00009194238,0.0007306656,0.002497556],"genre_scores_gemma":[0.5169772,0.001163419,0.4804503,0.00004038573,0.00005454469,0.0001191842,0.0002364645,0.0001494099,0.000808979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003611045,"threshold_uncertainty_score":0.01909727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930453279900585,"score_gpt":0.3155043650651295,"score_spread":0.2961998322661236,"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."}}