{"id":"W2018714679","doi":"10.1049/iet-rsn.2012.0328","title":"Generalised noise cancellation method for wave estimation by HF surface wave radar","year":2014,"lang":"en","type":"article","venue":"IET Radar Sonar & Navigation","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Radar; Acoustics; Surface wave; Estimation; Noise (video); Computer science; Geology; Telecommunications; Physics; Engineering; Artificial intelligence; Systems 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006936544,0.0002647164,0.0003073218,0.00004804248,0.000218936,0.0001162923,0.00008580907,0.000187448,0.00001532315],"category_scores_gemma":[0.00002873531,0.0002801711,0.0000956389,0.000204479,0.00002026365,0.0004121554,0.000009368846,0.0001511559,0.00001188406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231509,"about_ca_system_score_gemma":0.00003631294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00018741,"about_ca_topic_score_gemma":0.00001527446,"domain_scores_codex":[0.9984426,0.0001045674,0.0004725772,0.0003251127,0.0003401035,0.0003150059],"domain_scores_gemma":[0.9992419,0.0001480055,0.0001632453,0.0002137192,0.0001293816,0.0001037827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004784968,0.00002682629,0.00002653558,0.0006617564,0.00006803386,0.000002282242,0.001212383,0.2033528,0.5316842,0.0006878116,0.02193949,0.24029],"study_design_scores_gemma":[0.0006715424,0.00004466938,0.0000562809,0.0001187665,0.00003639211,0.00001100417,0.0000412342,0.8787587,0.09244222,0.001034939,0.02647054,0.0003137013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1008448,0.0006586518,0.8963242,0.000222034,0.0004894138,0.0005468997,0.00007212073,0.0002950815,0.000546777],"genre_scores_gemma":[0.6777019,0.00001487632,0.32082,0.00005113565,0.0003196956,0.00002942274,0.0006754128,0.00007957164,0.0003080059],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6754059,"threshold_uncertainty_score":0.9999651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379180203591356,"score_gpt":0.2446674448732786,"score_spread":0.230875642837365,"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."}}