{"id":"W3139677063","doi":"10.23919/jcn.2020.000031","title":"5G NR mmWave indoor coverage with massive antenna system","year":2021,"lang":"en","type":"article","venue":"Journal of Communications and Networks","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Kyungpook National University","keywords":"Computer science; Relay; Architecture; Antenna (radio); Radio frequency; Computer network; Embedded system; Telecommunications; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001141602,0.0004317218,0.0002413874,0.0001711831,0.0002865515,0.0004028622,0.0003745277,0.0003359087,0.002041615],"category_scores_gemma":[0.0001891266,0.00007231521,0.0001774266,0.0002949026,0.0001940887,0.0003857779,0.000542671,0.0002571395,0.0005398638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103221,"about_ca_system_score_gemma":0.0002191412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002393916,"about_ca_topic_score_gemma":0.003377786,"domain_scores_codex":[0.9998449,0.00004139459,0.000003640781,0.00002759369,0.00003642144,0.00004595447],"domain_scores_gemma":[0.9999145,0.00001648483,0.00001500828,0.00002408475,0.00001968113,0.0000101916],"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":[0.0005777659,0.0001245505,0.006625379,0.0002205683,0.0001240845,0.00142185,0.000275051,0.6159229,0.08850086,0.06018986,0.01177124,0.2142458],"study_design_scores_gemma":[0.00003744914,0.0002968043,0.002030559,0.00001316249,0.00004614769,0.000521643,0.00007420199,0.9686594,0.01170157,0.005565859,0.01103116,0.00002202811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2998587,0.001267373,0.6536285,0.0004870671,0.0001865213,0.00008169886,0.0003474501,0.002056398,0.04208643],"genre_scores_gemma":[0.9832836,0.0001873088,0.01323253,0.00008455546,0.00002756662,0.0000242298,0.00007780816,0.00001223963,0.003070274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002393916,"threshold_uncertainty_score":0.006829858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148952902162222,"score_gpt":0.212042235727927,"score_spread":0.1971469455117048,"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."}}