{"id":"W2620950289","doi":"10.23919/eucap.2017.7928196","title":"Large dielectric resonator antenna ESPAR for massive MIMO systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Antenna (radio); MIMO; Dielectric resonator antenna; Antenna array; Passive radiator; Azimuth; 3G MIMO; Radiator (engine cooling); Computer science; Resonator; Dipole antenna; Electronic engineering; Physics; Optics; Acoustics; Coaxial antenna; Telecommunications; Engineering; Beamforming","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":[0.0001979627,0.0005091631,0.0003275003,0.0001228882,0.0001184131,0.0003607597,0.0004941318,0.0003864084,0.001476989],"category_scores_gemma":[0.0002899482,0.0001840081,0.0003743996,0.0002011487,0.0001553638,0.000486105,0.0004781869,0.0004233211,0.001269798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492704,"about_ca_system_score_gemma":0.0001379115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006433052,"about_ca_topic_score_gemma":0.0001505608,"domain_scores_codex":[0.9997894,0.00006268232,0.000007800796,0.00004261266,0.00007434488,0.00002322099],"domain_scores_gemma":[0.9998166,0.00005112186,0.00003573383,0.00004256808,0.00003700997,0.00001692251],"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":[0.0002545879,0.00005104365,0.0007604136,0.0001913149,0.0000812448,0.0005573979,0.00005816795,0.04624292,0.8487767,0.01540191,0.003373235,0.08425105],"study_design_scores_gemma":[0.0000755118,0.001557678,0.002111979,0.00003016331,0.00009305248,0.003216808,0.00009870749,0.6199254,0.329024,0.006792826,0.036981,0.00009289855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09912416,0.0009273094,0.8861898,0.0003041028,0.000192019,0.00003211636,0.0001563231,0.001216561,0.01185759],"genre_scores_gemma":[0.694387,0.0004764991,0.3003794,0.0002011975,0.00008557085,0.00005246693,0.0001674128,0.00006661811,0.004183757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001476989,"threshold_uncertainty_score":0.004941046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148361152426139,"score_gpt":0.2341148454632154,"score_spread":0.2192787302206015,"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."}}