{"id":"W2901316187","doi":"10.23919/elmar.2018.8534621","title":"Perspectives of Geometry Based Deterministic Reference Channel Models for 5G Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Computer science; Key (lock); Standardization; Process (computing); Radio channel; Ray tracing (physics); Geometry; Reference model; MIMO; Theoretical computer science; Telecommunications; Mathematics; Software engineering; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006463779,0.0008805383,0.0005996421,0.0006374436,0.0003709247,0.00127373,0.001450175,0.001039374,0.001615273],"category_scores_gemma":[0.001824908,0.0003783318,0.0007738958,0.000742912,0.0008643833,0.001581008,0.0008356901,0.001206584,0.0005798466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101485,"about_ca_system_score_gemma":0.001006088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004469628,"about_ca_topic_score_gemma":0.002584473,"domain_scores_codex":[0.9992041,0.0003404178,0.0000274979,0.0001142588,0.0002443186,0.00006939465],"domain_scores_gemma":[0.9990712,0.0003729301,0.0001739684,0.0001462015,0.0001948031,0.00004077158],"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":[0.0000270523,0.00002090392,0.0005715874,0.00007145142,0.00002179347,0.0001220283,0.00008637982,0.6006981,0.002051159,0.3806136,0.001448402,0.01426758],"study_design_scores_gemma":[0.000007423316,0.00005929968,0.0002987863,0.00002822275,0.0000191669,0.0001413193,0.00004723835,0.917277,0.0007558569,0.07166462,0.009669912,0.00003113012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007439126,0.001163652,0.9800698,0.0008385211,0.0001497534,0.00002445335,0.0002315736,0.0001716048,0.009911562],"genre_scores_gemma":[0.7793222,0.009041609,0.1964146,0.000671775,0.0007888809,0.0002189163,0.0007655643,0.0001863647,0.01259014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004469628,"threshold_uncertainty_score":0.008887231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05128981103450775,"score_gpt":0.2698752149986832,"score_spread":0.2185854039641755,"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."}}