{"id":"W4396230589","doi":"10.18280/ts.410207","title":"Advancements in Jammer Location Identification and Suppression: Employing a Multi-Target Least Square Constant Modulus Array Approach","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constant (computer programming); Square (algebra); Modulus; Identification (biology); Control theory (sociology); Mathematics; Computer science; Acoustics; Algorithm; Physics; Geometry; Control (management); Biology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000660715,0.0009004999,0.0005058735,0.0006908544,0.0002505076,0.0007322424,0.0006757018,0.001004515,0.001333213],"category_scores_gemma":[0.001794607,0.0003807099,0.0005167949,0.0008752021,0.0005290855,0.001494543,0.0007029015,0.0009988691,0.001065761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183982,"about_ca_system_score_gemma":0.0005495431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00046956,"about_ca_topic_score_gemma":0.0004982919,"domain_scores_codex":[0.999392,0.0001777602,0.00003459027,0.000142826,0.0002292689,0.0000236203],"domain_scores_gemma":[0.9993607,0.0002673285,0.0001012474,0.0001038508,0.000146744,0.00002010969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002701784,0.0001223138,0.001191328,0.0004263685,0.0001250525,0.0001998143,0.0002352884,0.1909806,0.1371422,0.04198064,0.001715416,0.6256108],"study_design_scores_gemma":[0.00002210466,0.0002330532,0.0006449784,0.00003466129,0.00004284753,0.000399147,0.00004205948,0.9508083,0.03109507,0.006568972,0.01006106,0.00004774771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003325986,0.0006378334,0.9947851,0.00007838821,0.00003357548,0.000009022114,0.000007242368,0.0001382507,0.0009846286],"genre_scores_gemma":[0.1972809,0.002412782,0.7958823,0.0002189698,0.0002167744,0.00006391154,0.00007859552,0.0001059129,0.003739969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001333213,"threshold_uncertainty_score":0.004460037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872562428986727,"score_gpt":0.2401001781254977,"score_spread":0.2213745538356305,"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."}}