{"id":"W2565542442","doi":"10.1109/oceans.2016.7761272","title":"A new method for ocean spectrum extraction from high-frequency second-order Doppler radar data","year":2016,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Newfoundland and Labrador Centre for Applied Health Research","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radar; Doppler effect; Doppler radar; Convolution (computer science); Wave radar; Computer science; Remote sensing; Radar imaging; Continuous-wave radar; Physics; Geology; Algorithm; Telecommunications; Artificial intelligence","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":[0.0004333051,0.0007691977,0.0006389167,0.001160572,0.0004022415,0.000739984,0.000722948,0.0006755852,0.002080307],"category_scores_gemma":[0.0009041241,0.0004188186,0.0007397605,0.001004433,0.0004112769,0.001108469,0.0008880642,0.0009950242,0.001577427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671645,"about_ca_system_score_gemma":0.0007413829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272671,"about_ca_topic_score_gemma":0.002682124,"domain_scores_codex":[0.9995833,0.00005256077,0.00002110703,0.00008359575,0.0002333882,0.00002606927],"domain_scores_gemma":[0.9996563,0.00009042068,0.00004120869,0.00006354055,0.0001254536,0.00002295498],"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":[0.0001192141,0.0000985447,0.0009924838,0.0002425716,0.00008557875,0.0001262323,0.00009065905,0.02139383,0.2419292,0.007319999,0.002932672,0.7246689],"study_design_scores_gemma":[0.00006364902,0.0001361039,0.003813309,0.00002771248,0.00006853073,0.0009829811,0.00005068148,0.8546946,0.1123813,0.004867959,0.02279449,0.0001187092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002142352,0.0001017452,0.9971626,0.00003964048,0.00003012944,0.00001840408,0.00004572083,0.0002179491,0.0002412992],"genre_scores_gemma":[0.01717572,0.0001717295,0.9807118,0.00003208527,0.00004521971,0.00005678619,0.0002084614,0.00008728971,0.001510847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002080307,"threshold_uncertainty_score":0.006959379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713874450934546,"score_gpt":0.2722693418283567,"score_spread":0.2451305973190112,"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."}}