{"id":"W3047033669","doi":"10.1029/2019rs007027","title":"Transmit Beamforming for Phased Array Based on Constrained Wind‐Driven Optimization Method","year":2020,"lang":"en","type":"article","venue":"Radio Science","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Beamforming; Optimization problem; Phased array; Computer science; Mathematical optimization; Null (SQL); Radar; Constraint (computer-aided design); Reduction (mathematics); Control theory (sociology); Constrained optimization; Transmitter power output; Power (physics); Mathematics; Antenna (radio); Telecommunications; Physics","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":[0.0002587829,0.0001184997,0.0001324914,0.000104346,0.0001522149,0.00006112562,0.0002076223,0.00004142853,0.00004015304],"category_scores_gemma":[0.0001023517,0.0001161387,0.00005091451,0.0006162888,0.0001033563,0.0002827705,0.000001327106,0.00006886082,0.000003391692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005909298,"about_ca_system_score_gemma":0.00008579857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.423079e-7,"about_ca_topic_score_gemma":1.279563e-7,"domain_scores_codex":[0.9991364,0.00001342968,0.0001556904,0.0002418404,0.000207947,0.0002447045],"domain_scores_gemma":[0.9995771,0.00008806124,0.00002788549,0.0001043533,0.00005771069,0.0001448834],"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":[0.00001653624,0.000006575128,0.000004221119,0.00001850974,0.000002510141,3.538995e-7,0.0002289703,0.8265257,0.1716108,0.0001483483,0.00002488617,0.001412513],"study_design_scores_gemma":[0.00063209,0.00009894004,0.000005241292,0.00001903134,0.00001097856,0.000001205507,0.00003794401,0.9389445,0.05975353,0.000008197236,0.0003493687,0.000139048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001554435,0.00001274547,0.9968914,0.0004382243,0.0001145924,0.0003449552,0.00001406594,0.000239604,0.001788963],"genre_scores_gemma":[0.4068031,0.000003473339,0.59276,0.0003433859,0.00004841659,0.000009554524,0.000009333686,0.00001560639,0.00000709046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4066477,"threshold_uncertainty_score":0.4735998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895425304269645,"score_gpt":0.2471777823281615,"score_spread":0.228223529285465,"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."}}