{"id":"W4417002561","doi":"10.1109/taes.2025.3640119","title":"High-Precision Beam Selection and Scheduling for Multitarget Tracking in Netted Phased Array Radar Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Beamwidth; Phased array; Beam steering; Radar; Scheduling (production processes); Radar tracker; Low probability of intercept radar; Fire-control radar; Radar engineering details","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005648963,0.0004172662,0.0004432166,0.0002401901,0.0003333773,0.0004383351,0.0004333846,0.0003178068,0.0008194642],"category_scores_gemma":[0.001091843,0.0002225776,0.000201658,0.0004508737,0.0002891782,0.0004939989,0.0005093626,0.0005127034,0.000186904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005112769,"about_ca_system_score_gemma":0.0008913203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594331,"about_ca_topic_score_gemma":0.003821678,"domain_scores_codex":[0.9996617,0.00009604743,0.00001413313,0.00005171408,0.0001286602,0.00004764156],"domain_scores_gemma":[0.9996585,0.0001763628,0.00005244955,0.0000225035,0.0000629358,0.00002735761],"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":[0.00009720289,0.0000328805,0.0004951566,0.00005100243,0.00001417605,0.00006344995,0.00005646855,0.9316255,0.00654138,0.00663211,0.0008004652,0.05359011],"study_design_scores_gemma":[0.000003972317,0.00001721919,0.00006787815,0.00000126447,0.000001613409,0.000008194952,0.000003270117,0.998364,0.0005331705,0.0008073978,0.0001899156,0.000002035866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01135429,0.0002341924,0.9872783,0.00005916518,0.00002704206,0.00001522229,0.00001806068,0.00009219583,0.0009216194],"genre_scores_gemma":[0.8527521,0.0004662322,0.1445313,0.00006204689,0.00006826122,0.00006525407,0.00007161086,0.00003284681,0.001950314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002594331,"threshold_uncertainty_score":0.005158484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008606174770393264,"score_gpt":0.2430301247367144,"score_spread":0.2344239499663212,"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."}}