{"id":"W2164438589","doi":"10.1109/aps.2012.6349241","title":"Decoupling between two asymmetric non-perfectly matched antennas for MIMO applications","year":2012,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Decoupling (probability); Return loss; MIMO; Transmission line; Computer science; Electronic engineering; Bandwidth (computing); Topology (electrical circuits); Electrical engineering; Telecommunications; Engineering; Antenna (radio)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002125773,0.0001453295,0.0002330771,0.0002281615,0.00008534439,0.00003080159,0.0001398415,0.00005916262,0.00004949602],"category_scores_gemma":[0.00001273996,0.0001318251,0.0001428396,0.0006471151,0.00001285222,0.0001505748,0.00001555651,0.0000784452,0.000236058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003700083,"about_ca_system_score_gemma":0.000005850987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002074246,"about_ca_topic_score_gemma":0.000004314531,"domain_scores_codex":[0.9991681,0.000004155836,0.0002176947,0.000131583,0.00008676709,0.0003917312],"domain_scores_gemma":[0.9994316,0.0001421912,0.00002460535,0.000208541,0.00004549188,0.0001476334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002227407,0.0004476553,0.4685718,0.0008340563,0.00248452,0.000001913466,0.001020954,0.002852281,0.3762887,0.007557456,0.007086583,0.1328319],"study_design_scores_gemma":[0.001705026,0.00005130848,0.02872909,0.00004104486,0.0008069584,0.000005912651,0.0006579006,0.92481,0.02718749,0.0007086919,0.01400191,0.001294657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02419162,0.0004596045,0.9722981,0.00003314007,0.00005351935,0.0002894199,0.0000106997,0.0002903113,0.002373542],"genre_scores_gemma":[0.9829962,0.00003966812,0.01568504,0.0000433241,0.0004640405,0.000168377,0.00003231233,0.00004240037,0.0005285795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9588047,"threshold_uncertainty_score":0.537567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985171655894747,"score_gpt":0.2657584200159127,"score_spread":0.2459067034569652,"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."}}