{"id":"W3131994289","doi":"10.1109/lawp.2021.3061281","title":"Array of Arrays: Optimizing Phased Array Tiles","year":2021,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Phased array; Array data structure; Phased-array optics; Computer science; Beamforming; Scalability; Multiplication (music); Electronic engineering; Reflective array antenna; Sensor array; Radiation pattern; Materials science; Engineering; Optoelectronics; Acoustics; Physics; Telecommunications; Antenna (radio); Slot antenna","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":[0.0001695575,0.0003626522,0.0003386421,0.0001490777,0.0001424361,0.0006350693,0.0004024821,0.0002756142,0.001471111],"category_scores_gemma":[0.0006959361,0.0001896679,0.0002630411,0.0002886775,0.0002432236,0.0006812497,0.0005888254,0.0003508304,0.0006889586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428945,"about_ca_system_score_gemma":0.0002069183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339066,"about_ca_topic_score_gemma":0.0002298726,"domain_scores_codex":[0.9997501,0.00004411707,0.00001356716,0.00005837822,0.0001016458,0.00003219048],"domain_scores_gemma":[0.9997377,0.0000789873,0.00005752903,0.00005920283,0.00004955922,0.00001699643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002041305,0.0001082012,0.001491901,0.0002292107,0.00005478993,0.000241565,0.0001462873,0.3371353,0.5005054,0.03633157,0.002301384,0.1212503],"study_design_scores_gemma":[0.00005295532,0.0004953066,0.0006205554,0.00002038199,0.00002622291,0.0003644093,0.0001004924,0.7560606,0.2152355,0.009582237,0.01741599,0.00002532582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1547199,0.0003556786,0.8217328,0.0003268017,0.0001684488,0.00006886844,0.00008291275,0.0007232278,0.02182142],"genre_scores_gemma":[0.5961356,0.0002663998,0.3998976,0.0001370065,0.00006344595,0.00009242183,0.0001190165,0.0001635605,0.003124847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001471111,"threshold_uncertainty_score":0.004921317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186356712248664,"score_gpt":0.2082454253105329,"score_spread":0.1963818581880463,"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."}}