{"id":"W2289319332","doi":"10.1109/radarconf.2015.7411862","title":"Adaptive normalised matched filter performance in medium grazing angle sea clutter","year":2015,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Clutter; Constant false alarm rate; Matched filter; Space-time adaptive processing; Filter (signal processing); Computer science; Detector; Adaptive filter; Invariant (physics); Radar; Moving target indication; Artificial intelligence; Algorithm; Mathematics; Computer vision; Continuous-wave radar; Radar imaging; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002317094,0.0001259458,0.0001675071,0.0000827738,0.00002328146,0.00003901562,0.00010269,0.00006555542,0.00003689891],"category_scores_gemma":[0.000005976133,0.0001061185,0.00002395687,0.0001590632,0.00001333119,0.0004059843,0.00002171638,0.0001375195,0.00008321524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007777505,"about_ca_system_score_gemma":0.00002662189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008212254,"about_ca_topic_score_gemma":0.0001155962,"domain_scores_codex":[0.9992241,0.00001515735,0.0002147312,0.0001158392,0.0001730314,0.0002571776],"domain_scores_gemma":[0.9997254,0.00001395057,0.00001877038,0.0001110543,0.00003718213,0.00009366885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000368635,0.0002094885,0.3607705,0.002438467,0.00031829,0.0003694752,0.03950579,0.4277118,0.02774568,0.000274319,0.1166434,0.02364415],"study_design_scores_gemma":[0.001484284,0.0000838985,0.01913396,0.000243011,0.00001052679,0.00003187087,0.001509549,0.9481698,0.0231337,0.00008552254,0.005528426,0.0005854943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342778,0.0004637559,0.0128183,0.0001095659,0.0005041616,0.000158533,0.000002767988,0.0002899657,0.05137511],"genre_scores_gemma":[0.9979334,0.000004204826,0.001464861,0.00009149725,0.0001343259,0.00001205643,0.000003484708,0.0000257556,0.000330394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5204579,"threshold_uncertainty_score":0.4327387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612799622052741,"score_gpt":0.2107930944686518,"score_spread":0.1846650982481244,"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."}}