{"id":"W3186806505","doi":"10.3311/ppee.16959","title":"Selection of Sampling Interval and Size of Random Sample for Radar Detection in the Moments Space","year":2021,"lang":"en","type":"article","venue":"Periodica Polytechnica Electrical Engineering and Computer Science","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Mathematics; Radar; Statistics; Gaussian; Sample size determination; Random variable; Method of moments (probability theory); Confidence interval; Sampling (signal processing); Sample space; Detector; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004104478,0.00009425891,0.0002057749,0.00009639747,0.00007820963,0.00006250219,0.0001247794,0.00004277141,5.199533e-7],"category_scores_gemma":[0.0001344581,0.00007911184,0.00003270296,0.0007602378,0.00006838099,0.00009906234,0.00003062123,0.0001278288,2.155782e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003094786,"about_ca_system_score_gemma":0.00003566093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002450747,"about_ca_topic_score_gemma":0.000003392696,"domain_scores_codex":[0.9992047,0.00001244708,0.0002351983,0.0001797447,0.0001713539,0.0001965827],"domain_scores_gemma":[0.9994663,0.0003230619,0.00003442001,0.00008859058,0.00004736761,0.00004026333],"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":[0.00003210265,0.00003613361,0.000152538,0.000325119,0.00001776975,0.000001062542,0.0005462878,0.01598625,0.875662,0.0004938013,0.000005748245,0.1067412],"study_design_scores_gemma":[0.0003742685,0.0001201566,0.002406566,0.00007796254,0.000007828467,0.00004997305,0.00001502522,0.910959,0.08547574,0.00006052658,0.0003523065,0.0001006372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3106496,0.0005576625,0.6885707,0.00002538972,0.00005566042,0.00009522771,0.000001546159,0.00003822909,0.000006018846],"genre_scores_gemma":[0.973306,0.00006139067,0.02657366,0.000007326042,0.00003088129,0.00001227681,2.677887e-7,0.000007386548,8.328778e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8949727,"threshold_uncertainty_score":0.3226087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007637169357051388,"score_gpt":0.2160676205038349,"score_spread":0.2084304511467835,"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."}}