{"id":"W2564272990","doi":"10.1109/pimrc.2016.7794954","title":"Two-tier cellular communication systems with enhanced vehicular-based primary nodes","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Computer science; Cellular network; Antenna (radio); Transmission (telecommunications); Computer network; Distributed antenna system; 3G MIMO; Smart antenna; Base station; Electronic engineering; Omnidirectional antenna; Telecommunications; Engineering; Channel (broadcasting)","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":[0.0002388859,0.0005549454,0.0004286538,0.0001766484,0.0002992783,0.0009933885,0.0005585505,0.0004991269,0.00108646],"category_scores_gemma":[0.0005172091,0.0001436069,0.0002536826,0.0004989126,0.0003128704,0.0004683761,0.0006595879,0.0003359586,0.0003973051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005983764,"about_ca_system_score_gemma":0.0005004754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003300353,"about_ca_topic_score_gemma":0.005405556,"domain_scores_codex":[0.9995754,0.000117978,0.00001750006,0.00006656854,0.0001038445,0.0001187521],"domain_scores_gemma":[0.999581,0.00008904321,0.00004584094,0.00009616322,0.0001487344,0.00003914736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002193709,0.0001114077,0.003730338,0.0001154136,0.00007088578,0.0004287504,0.0000804697,0.8768358,0.05134339,0.02213968,0.001349582,0.04357498],"study_design_scores_gemma":[0.00001740616,0.000268143,0.00141759,0.000006833565,0.00002782345,0.0002457064,0.00006377992,0.9842405,0.00830597,0.003198371,0.002185156,0.00002268795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3470977,0.0007047594,0.631496,0.0001614936,0.0001201289,0.00008497608,0.0002659691,0.0006199254,0.01944908],"genre_scores_gemma":[0.9845137,0.0001108184,0.01384255,0.00003107621,0.00001138764,0.00001445157,0.00004713874,0.000003781826,0.001425161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003300353,"threshold_uncertainty_score":0.006562233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005360381068549137,"score_gpt":0.1858928336210632,"score_spread":0.1805324525525141,"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."}}