{"id":"W4410985476","doi":"10.1109/trs.2025.3575786","title":"Noise-Type Radars With Gaussian Statistics: SNR and the Correlation Coefficient","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Radar Systems","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministère de la Défense Nationale","keywords":"Statistics; Correlation coefficient; Gaussian noise; Gaussian; Mathematics; Acoustics; Statistical physics; Physics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002469854,0.0001937087,0.0002731626,0.000138972,0.0003318547,0.0001564931,0.00009572893,0.00007836182,0.000008316683],"category_scores_gemma":[0.000002939351,0.0001284084,0.00003154397,0.0003546882,0.0001116407,0.00009069075,5.471302e-7,0.0002414099,0.00001555028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009043591,"about_ca_system_score_gemma":0.00005581011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000190051,"about_ca_topic_score_gemma":0.00005800468,"domain_scores_codex":[0.99896,0.00008364554,0.0003235954,0.0001947234,0.0002423037,0.0001957575],"domain_scores_gemma":[0.9994188,0.0001800278,0.00005143809,0.0002270671,0.00006581945,0.00005687879],"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":[0.0002497953,0.00003761654,0.00002100767,0.0005686609,0.0002360025,0.00001151551,0.0009042742,0.9820874,0.0004843051,0.003734294,0.002013421,0.009651754],"study_design_scores_gemma":[0.002362604,0.0001047038,0.00009332973,0.0007271185,0.0001627226,0.00007008499,0.001130022,0.9855576,0.0009637417,0.00004634614,0.008466102,0.0003155918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004454423,0.001309459,0.9883819,0.00007394309,0.002322381,0.0005185028,0.00003713374,0.0001795705,0.002722638],"genre_scores_gemma":[0.9978077,0.00005174594,0.0005003937,0.00002968433,0.00003973614,0.00003153409,0.000003080597,0.00003011559,0.001506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933533,"threshold_uncertainty_score":0.5236342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00511849519469342,"score_gpt":0.1976216148233896,"score_spread":0.1925031196286961,"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."}}