{"id":"W2048760548","doi":"10.1109/tap.2014.2367507","title":"Analysis and Optimum Design of Sequential-Rotation Array for Gain Bandwidth Enhancement","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bandwidth (computing); Polarization (electrochemistry); Physics; Optics; Antenna gain; Mathematics; Computer science; Radiation pattern; Antenna (radio); Antenna aperture; Telecommunications","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":[0.0002834442,0.0006214515,0.0005518829,0.0003797127,0.000173253,0.0005227283,0.000503006,0.0003930258,0.001748037],"category_scores_gemma":[0.000600991,0.0003599509,0.0004243418,0.0005306575,0.0002473574,0.0005720208,0.0003754635,0.0002622001,0.0008846396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381507,"about_ca_system_score_gemma":0.0003498899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003092867,"about_ca_topic_score_gemma":0.0005173893,"domain_scores_codex":[0.9995652,0.0001053858,0.00002019311,0.00009273525,0.0001513296,0.00006520726],"domain_scores_gemma":[0.9995944,0.00008299281,0.0001300602,0.00004079056,0.000129326,0.00002254162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004337067,0.0001128926,0.00227569,0.0003770312,0.0001216178,0.0002375606,0.0001875572,0.1955268,0.5785647,0.03101111,0.002861615,0.1882898],"study_design_scores_gemma":[0.00005772266,0.0007216334,0.001452201,0.00003192853,0.00008743325,0.000548963,0.000103397,0.850642,0.123707,0.005318779,0.0172726,0.00005641525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0678479,0.0004878674,0.9184856,0.000172001,0.00004466396,0.00003981522,0.00006535828,0.0004345577,0.0124222],"genre_scores_gemma":[0.5798831,0.0004686964,0.4167635,0.00006581227,0.00005393487,0.0001059652,0.00008161035,0.00007131499,0.002505982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001748037,"threshold_uncertainty_score":0.005847752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706711186553063,"score_gpt":0.2309162105768316,"score_spread":0.2138490987113009,"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."}}