{"id":"W3153445589","doi":"10.1109/ojap.2021.3074290","title":"18 Element Massive MIMO/Diversity 5G Smartphones Antenna Design for Sub-6 GHz LTE Bands 42/43 Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Open Journal of Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"MIMO; Decoupling (probability); Diversity gain; Antenna (radio); Computer science; Electronic engineering; Topology (electrical circuits); Channel (broadcasting); Physics; Electrical engineering; Telecommunications; Engineering","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":[0.0001089907,0.0004538757,0.0002590775,0.0001843592,0.0001278956,0.000384417,0.0004034954,0.0003791181,0.00278528],"category_scores_gemma":[0.0001519927,0.000153725,0.0003042569,0.0002236662,0.0001186607,0.0002226453,0.0002507181,0.0002219135,0.002231556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729474,"about_ca_system_score_gemma":0.000201529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003342496,"about_ca_topic_score_gemma":0.0003967951,"domain_scores_codex":[0.999819,0.0000414989,0.000008460096,0.00002900352,0.00007312668,0.00002885272],"domain_scores_gemma":[0.9998894,0.00001108942,0.00002059224,0.00001513938,0.0000517306,0.00001207072],"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":[0.0004099658,0.00008272715,0.002881692,0.0002162266,0.000124735,0.0004847412,0.000297035,0.05847878,0.6862078,0.01488583,0.007478923,0.2284516],"study_design_scores_gemma":[0.00009855533,0.001478398,0.004856159,0.00005109726,0.0001217704,0.002917953,0.0002540109,0.4514594,0.4280033,0.003629135,0.1070313,0.00009893209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1251775,0.0003524465,0.8447448,0.0003564542,0.0001753879,0.00007673699,0.0001488873,0.001025498,0.02794227],"genre_scores_gemma":[0.7019299,0.0003780357,0.2773741,0.0001983907,0.00008504162,0.0001330028,0.0002522116,0.00008684696,0.01956251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00278528,"threshold_uncertainty_score":0.009317636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03628927415169711,"score_gpt":0.2546493369056482,"score_spread":0.2183600627539511,"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."}}