{"id":"W2157274353","doi":"10.1109/igarss.2002.1027195","title":"A new maximum likelihood generalized gamma CFAR detector","year":2003,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"AUG Signals (Canada)","funders":"","keywords":"Constant false alarm rate; Clutter; Detector; Weibull distribution; Generalized gamma distribution; Gamma distribution; Rayleigh distribution; Mathematics; Order statistic; Shape parameter; Statistics; Likelihood-ratio test; Algorithm; Radar; Computer science; Probability density function; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001795443,0.0006744746,0.001389539,0.001207575,0.0002878557,0.001220423,0.001451849,0.001808311,0.001976455],"category_scores_gemma":[0.003139305,0.0004124537,0.0006918948,0.001280458,0.0005804379,0.001845317,0.00163132,0.001206636,0.001848305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562283,"about_ca_system_score_gemma":0.0009808429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004368248,"about_ca_topic_score_gemma":0.0007237294,"domain_scores_codex":[0.9986421,0.0003701333,0.00005197138,0.00021774,0.0006201505,0.00009786533],"domain_scores_gemma":[0.9986989,0.0003962585,0.0001422973,0.0001999012,0.0004761954,0.00008641566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004991427,0.0001443664,0.002965823,0.000330765,0.0002077918,0.000599716,0.0001305817,0.07233972,0.08238696,0.05053256,0.01495002,0.7749125],"study_design_scores_gemma":[0.0001125428,0.0002754205,0.001167364,0.00005419339,0.0001018818,0.002487957,0.00002519169,0.9126235,0.02942884,0.02188785,0.03169464,0.0001406339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003216836,0.0004777815,0.9937848,0.0001378421,0.0000657339,0.00002854745,0.00007915076,0.00078549,0.001423833],"genre_scores_gemma":[0.1009651,0.0004717386,0.8923732,0.0005999219,0.0001565935,0.00009055022,0.0004507648,0.00009441766,0.004797694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001976455,"threshold_uncertainty_score":0.009495318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008653597355880817,"score_gpt":0.194448915514163,"score_spread":0.1857953181582822,"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."}}