{"id":"W2942839371","doi":"10.1155/2019/6243107","title":"Pattern Synthesis of Time-Modulated Array Antenna Based on an Improved Invasive Weed Optimization Method","year":2019,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Qinglan Project of Jiangsu Province of China; Government of Jiangsu Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Side lobe; Beamforming; Antenna array; Sequence (biology); Harmonic; Antenna (radio); Function (biology); Main lobe; Algorithm; Computer science; Electronic engineering; Engineering; Acoustics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001655618,0.0004686938,0.0003298708,0.000196198,0.0001161932,0.0002679555,0.0003819176,0.0003264171,0.001467232],"category_scores_gemma":[0.0003323162,0.0001900839,0.0003419728,0.0003749434,0.0002078028,0.0004299372,0.00023594,0.0003050228,0.0003183663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154862,"about_ca_system_score_gemma":0.00029784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005071544,"about_ca_topic_score_gemma":0.0007595638,"domain_scores_codex":[0.9998821,0.00002251373,0.000004490601,0.00002366512,0.00005601468,0.000011192],"domain_scores_gemma":[0.9999187,0.00003215565,0.00001757932,0.000008279656,0.00001910774,0.000004307329],"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":[0.0001366721,0.00006861906,0.0004178025,0.0002117833,0.00004972225,0.0001018816,0.0001421523,0.4794236,0.2723744,0.02675272,0.001389552,0.2189311],"study_design_scores_gemma":[0.00001412036,0.00008598172,0.0001399012,0.000004506976,0.000009254666,0.00004526966,0.000008847032,0.9831407,0.01300095,0.001453839,0.002088588,0.000007860299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01350974,0.0001043021,0.9828783,0.00005206468,0.00002071401,0.00002107188,0.00001759773,0.0001321436,0.003264043],"genre_scores_gemma":[0.2683964,0.0002679535,0.725482,0.00007021104,0.00002564374,0.0001570049,0.00008092733,0.00009250956,0.005427422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001467232,"threshold_uncertainty_score":0.004908383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005626771109539239,"score_gpt":0.2211104657443393,"score_spread":0.2154836946348001,"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."}}