{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007454899,0.000660389,0.0004425309,0.000276006,0.0001635093,0.0006909855,0.0007128898,0.0006703016,0.0007034806],"category_scores_gemma":[0.001919104,0.0002896992,0.0004065037,0.0004027036,0.0005482757,0.0007490202,0.000734596,0.0006689337,0.0003626808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000315103,"about_ca_system_score_gemma":0.0006445245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005788485,"about_ca_topic_score_gemma":0.000580024,"domain_scores_codex":[0.9995708,0.0001247937,0.00001650507,0.00006055594,0.0001863124,0.00004096572],"domain_scores_gemma":[0.9994261,0.0003000147,0.00007687113,0.00004915011,0.0001201027,0.00002778457],"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":[0.0001007314,0.00005255904,0.000289024,0.0001367063,0.00002998808,0.00008860602,0.00009173106,0.8263623,0.02698023,0.02639209,0.000849286,0.1186268],"study_design_scores_gemma":[0.00001040062,0.00006169325,0.00005307712,0.000006378782,0.000008236514,0.00004338565,0.00001008417,0.9901806,0.004078823,0.004837343,0.0007025754,0.000007447218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006263412,0.0001242468,0.992348,0.00004750768,0.00001197261,0.000009533303,0.000008118171,0.00006691037,0.001120331],"genre_scores_gemma":[0.522594,0.0006835552,0.4733201,0.0002058196,0.00008145619,0.0001199112,0.00008431266,0.0001055708,0.002805182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0007454899,"threshold_uncertainty_score":0.003942549,"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."}}