{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008829781,0.0001342584,0.0001551931,0.00004729505,0.00004193839,0.00006619302,0.00007826852,0.00006677299,0.0007591688],"category_scores_gemma":[0.00001214517,0.0001154379,0.00005542784,0.0001341332,0.000004264773,0.00009832526,0.000005166247,0.000078712,0.0001622537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003118374,"about_ca_system_score_gemma":0.00003476068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006934925,"about_ca_topic_score_gemma":0.00003525205,"domain_scores_codex":[0.9992847,0.00001669539,0.0001855377,0.0001259855,0.0001203414,0.0002667053],"domain_scores_gemma":[0.9996692,0.00001053283,0.0000143752,0.0001464104,0.00001626051,0.0001432251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002694274,0.00004790655,0.0009184451,0.0006158975,0.0003237441,0.0001209823,0.001193243,0.009704327,0.4836154,0.009941402,0.12827,0.3652217],"study_design_scores_gemma":[0.002615031,0.00008473742,0.0002385944,0.000112778,0.00004338216,0.0001560366,0.0001934307,0.03241973,0.3035833,0.01110431,0.6482154,0.001233287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1235588,0.004152379,0.7159493,0.00004331562,0.0009920665,0.0002026196,0.000001459466,0.0009767619,0.1541233],"genre_scores_gemma":[0.966244,0.0000174613,0.03089161,0.00006645772,0.0001797956,0.000005775402,7.46727e-7,0.00004778451,0.00254639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8426852,"threshold_uncertainty_score":0.8312366,"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."}}