{"id":"W4412623610","doi":"10.1109/tcomm.2025.3592583","title":"Cooperative Jamming Detection Using Low-Rank Structure of Received Signal Matrix","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Jamming; Detection theory; Computer science; Signal processing; Matrix (chemical analysis); Rank (graph theory); Matrix algebra; Electronic engineering; Algorithm; Telecommunications; Mathematics; Engineering; Detector; Physics; Materials science","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":[0.00007842868,0.0001434529,0.000201422,0.0002507287,0.000457442,0.00004681665,0.0003054113,0.0001122671,0.0000381727],"category_scores_gemma":[0.000004118527,0.0001522146,0.00007787361,0.0006001682,0.00008159265,0.0001762899,0.000002382679,0.0003797741,0.000003137295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298647,"about_ca_system_score_gemma":0.00005963161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009257402,"about_ca_topic_score_gemma":0.0001977613,"domain_scores_codex":[0.9991922,0.00008959162,0.0003593286,0.0001206711,0.0001052191,0.00013303],"domain_scores_gemma":[0.9990295,0.0001572294,0.00005555509,0.0005791945,0.0001454394,0.0000331228],"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":[0.00001156695,0.00003247408,0.000002598044,0.00008576979,0.00008376773,1.601067e-7,0.0004057326,0.5861757,0.4012561,0.00004289245,0.000007391865,0.01189591],"study_design_scores_gemma":[0.0002923385,0.0000232306,0.00002502551,0.0003226589,0.00007093492,0.000005192323,0.0004479529,0.605268,0.3929629,0.0001075063,0.0003225052,0.0001518029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1512925,0.0004442707,0.8467128,0.00004338756,0.0003064245,0.0002052926,0.00004671105,0.0001421491,0.0008064909],"genre_scores_gemma":[0.9956228,0.0000854087,0.004118186,0.00001152575,0.00001358803,0.00001293101,0.000003413875,0.00002152134,0.0001106063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8443304,"threshold_uncertainty_score":0.6207132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547889449179436,"score_gpt":0.2689468440726552,"score_spread":0.2534679495808608,"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."}}