{"id":"W2108964633","doi":"10.2528/pierb15012807","title":"MODERN ANTENNA DESIGN USING MODE ANALYSIS TECHNIQUES","year":2015,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research B","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada); DSM (Canada); University of Waterloo","funders":"","keywords":"Computer science; Mode (computer interface); Antenna (radio); Telecommunications; Human–computer interaction","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":[0.0004357562,0.0007594693,0.0005156887,0.0006198972,0.0003317682,0.001010677,0.000704511,0.0009011213,0.004585128],"category_scores_gemma":[0.0008130632,0.0003796215,0.0007676617,0.000513725,0.0005643538,0.001283248,0.0005546911,0.001150273,0.003444179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004031768,"about_ca_system_score_gemma":0.0002492836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002861723,"about_ca_topic_score_gemma":0.0003096171,"domain_scores_codex":[0.9997476,0.0000690587,0.00001229859,0.00004699496,0.0001084745,0.00001564836],"domain_scores_gemma":[0.9998314,0.00007275772,0.00001341939,0.0000370317,0.00004082183,0.000004461284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000643459,0.00004654998,0.0004691642,0.0004578784,0.00007749705,0.0001073487,0.0002826654,0.1095957,0.05793549,0.4154612,0.007904831,0.4075974],"study_design_scores_gemma":[0.00002556943,0.0001578517,0.0004420233,0.0001250947,0.0000409658,0.0006044456,0.00009721739,0.5664588,0.02190465,0.2713989,0.1386723,0.00007225038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000906135,0.0004672673,0.9933391,0.0001012813,0.0000570924,0.00001137518,0.00001443106,0.000129249,0.004974032],"genre_scores_gemma":[0.1018392,0.004483364,0.8721086,0.0003547599,0.0002633487,0.0002124391,0.0001244669,0.0002347966,0.02037904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004585128,"threshold_uncertainty_score":0.01533872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125591677817596,"score_gpt":0.383409781020969,"score_spread":0.2708506132392094,"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."}}