{"id":"W4386320497","doi":"10.1109/taes.2023.3310493","title":"Minimization of Internally Reflected Power Via Waveform Design in Cognitive MIMO Radar","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Waveform; Radar; MIMO; Electronic engineering; Computer science; Power (physics); Pulse-Doppler radar; Minification; Electrical engineering; Engineering; Telecommunications; Physics; Radar imaging; Beamforming","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":[0.0002614234,0.0001750685,0.0002836839,0.0002823601,0.00006329874,0.00003621937,0.00006666913,0.0001194797,0.000008738472],"category_scores_gemma":[0.000003633413,0.0001681901,0.00004628863,0.0006386215,0.00002493179,0.000125317,5.764284e-7,0.0002354075,0.00001256082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414306,"about_ca_system_score_gemma":0.00005150484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000148611,"about_ca_topic_score_gemma":0.0001398423,"domain_scores_codex":[0.9988653,0.00006179597,0.0003429111,0.0001909407,0.0001769537,0.0003621154],"domain_scores_gemma":[0.9996353,0.0001004753,0.00005972632,0.00009832293,0.00005480089,0.00005130703],"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":[0.0006794124,0.0002077492,0.0001297466,0.001216671,0.0007089588,0.00004612736,0.008493946,0.616595,0.3462161,0.0001235439,0.00079647,0.02478625],"study_design_scores_gemma":[0.003504713,0.001193243,0.0005170801,0.002457997,0.0001111423,0.000147266,0.003543103,0.8060838,0.1809096,0.0001022396,0.000491077,0.0009386913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.245528,0.0007908041,0.7523553,0.00002081563,0.0003944443,0.0003743522,0.000007651526,0.0001753114,0.0003533076],"genre_scores_gemma":[0.9991006,0.0002287004,0.0000439291,0.000006096171,0.00001983492,0.00004779537,0.000002657935,0.00003959369,0.0005108177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7535726,"threshold_uncertainty_score":0.6858593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440712030329246,"score_gpt":0.2348355449314519,"score_spread":0.2204284246281595,"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."}}