{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002434846,0.001058473,0.0007318666,0.001126201,0.0004433482,0.00213247,0.00115656,0.001894901,0.001622704],"category_scores_gemma":[0.01360398,0.0005022024,0.0004935873,0.001131998,0.003874864,0.00370111,0.001357248,0.002396644,0.0006491031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085478,"about_ca_system_score_gemma":0.0007405681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209474,"about_ca_topic_score_gemma":0.0006167452,"domain_scores_codex":[0.9976335,0.0008161512,0.0001019795,0.0003817556,0.0008309635,0.0002358041],"domain_scores_gemma":[0.9907594,0.006540343,0.001204783,0.0006889636,0.0006577757,0.0001487831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001478229,0.00004330037,0.001487932,0.0001696401,0.00004246586,0.000391578,0.0002592436,0.04901001,0.01582258,0.9106464,0.001797344,0.02018166],"study_design_scores_gemma":[0.00002941657,0.0001525885,0.001840046,0.00009574305,0.00004249646,0.00121485,0.0001028909,0.5158281,0.02564046,0.4478244,0.007099833,0.0001292335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0345191,0.0026446,0.9422989,0.001186033,0.0001752997,0.00004118935,0.0001133064,0.0003986236,0.01862284],"genre_scores_gemma":[0.8525,0.003707112,0.1349972,0.001007157,0.0005487849,0.0001309365,0.0001813346,0.0003315955,0.006595822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002434846,"threshold_uncertainty_score":0.01287687,"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."}}