{"id":"W4383536231","doi":"10.3390/e25071027","title":"Alternating Direction Method of Multipliers-Based Constant Modulus Waveform Design for Dual-Function Radar-Communication Systems","year":2023,"lang":"en","type":"article","venue":"Entropy","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"King Saud University","keywords":"Waveform; Beamforming; Radar; Computer science; Convex optimization; MIMO; Communications system; Optimization problem; Interference (communication); Constant (computer programming); Electronic engineering; Algorithm; Mathematical optimization; Control theory (sociology); Mathematics; Regular polygon; Telecommunications; Engineering; Artificial intelligence","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":[0.0008592286,0.0001249208,0.0002209668,0.0001494906,0.0001370582,0.00004498391,0.00007921093,0.00006908467,0.000003058013],"category_scores_gemma":[0.00007028322,0.0001183553,0.00006841407,0.0002431187,0.00001547549,0.0001331428,0.00001021941,0.00008679192,0.000006113135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131916,"about_ca_system_score_gemma":0.00002241034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053969,"about_ca_topic_score_gemma":0.000002829419,"domain_scores_codex":[0.9990164,0.00009205008,0.0003768246,0.0001389852,0.0001799734,0.0001957762],"domain_scores_gemma":[0.9992638,0.0002749457,0.0001340198,0.0002028064,0.00008580973,0.00003861793],"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":[0.00006694948,0.00001281287,0.0000440084,0.0004420604,0.00007766076,0.000001164154,0.0002948878,0.8250079,0.1607199,0.002162983,0.000560899,0.01060885],"study_design_scores_gemma":[0.0006029062,0.00004992957,0.00005744008,0.0001938942,0.00002532328,0.000003478902,0.0002595949,0.9560366,0.04154836,0.0002597018,0.0008438989,0.0001189181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01523529,0.0005297929,0.9819763,0.00001886069,0.0009525036,0.0005163804,0.00001241889,0.0004184361,0.0003399769],"genre_scores_gemma":[0.9557995,0.00002028935,0.04379575,0.000003817237,0.0001062421,0.0001019066,0.00002950509,0.00003984825,0.0001032011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9405642,"threshold_uncertainty_score":0.4826388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611955934364074,"score_gpt":0.2648077136251443,"score_spread":0.2386881542815035,"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."}}