{"id":"W3041692545","doi":"10.1109/incap47789.2019.9134680","title":"Mutual Coupling Reduction by Pixelated Resonator Structure","year":2019,"lang":"en","type":"article","venue":"2019 IEEE Indian Conference on Antennas and Propogation (InCAP)","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Particle swarm optimization; Binary number; Coupling (piping); Reduction (mathematics); Resonator; Pixel; Computer science; Algorithm; Matching (statistics); Impedance matching; Electrical impedance; Set (abstract data type); Topology (electrical circuits); Mathematics; Optics; Physics; Materials science; Artificial intelligence","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":[0.0002006268,0.0004838191,0.0004289316,0.0002303771,0.000236179,0.0004735414,0.0008430784,0.0005214349,0.001339277],"category_scores_gemma":[0.000463649,0.0002845204,0.0005007357,0.000233472,0.0003010076,0.0006152006,0.000517919,0.000274491,0.0005426671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000327495,"about_ca_system_score_gemma":0.0002142378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001437455,"about_ca_topic_score_gemma":0.0002489729,"domain_scores_codex":[0.9996107,0.000066748,0.00001711036,0.0001084378,0.0001659957,0.00003091019],"domain_scores_gemma":[0.9997434,0.00006018735,0.00007097906,0.00005319733,0.00005804075,0.00001408308],"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":[0.00019761,0.00006100668,0.0008593943,0.0002120379,0.0001106106,0.0002726711,0.0001830824,0.02748885,0.8962743,0.01203409,0.0007000046,0.06160638],"study_design_scores_gemma":[0.00006747684,0.00112591,0.00165045,0.00002317633,0.0001602596,0.001265151,0.00006288057,0.4078315,0.570522,0.003551735,0.01368194,0.00005751336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1754621,0.0004955103,0.815571,0.0001360506,0.0000796192,0.00004463452,0.00004519362,0.0009223107,0.007243585],"genre_scores_gemma":[0.6575359,0.0001519914,0.3391907,0.00008113259,0.00003430191,0.00005344576,0.00006323519,0.00008987277,0.002799443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001339277,"threshold_uncertainty_score":0.004480362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008305779915597286,"score_gpt":0.2052316666741886,"score_spread":0.1969258867585914,"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."}}