{"id":"W2077444729","doi":"10.1109/eucap.2014.6901730","title":"Channel modelling for the fifth generation mobile communications","year":2014,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Information and Communication Technologies; Ministry of Economy, Trade and Industry; European Commission","keywords":"Metis; Channel (broadcasting); Computer science; Wireless; Mobile telephony; Work (physics); Telecommunications; Mobile radio; World Wide Web; Engineering","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":[0.0003925303,0.0005742241,0.0005816405,0.0005765447,0.0004638925,0.001180151,0.0007540783,0.001062376,0.002363739],"category_scores_gemma":[0.0009071533,0.0002593693,0.0006559379,0.0007243759,0.0005360388,0.001001362,0.0006660459,0.001015287,0.001235697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008818301,"about_ca_system_score_gemma":0.001166204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009249818,"about_ca_topic_score_gemma":0.006434684,"domain_scores_codex":[0.9996535,0.0001085088,0.00001143614,0.00003946786,0.0001294037,0.00005775984],"domain_scores_gemma":[0.999647,0.0001536495,0.00003973099,0.00004057245,0.0001020141,0.00001711212],"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":[0.000034355,0.00001937349,0.0006376493,0.00009745744,0.00002305505,0.0001398037,0.000115542,0.899887,0.003946489,0.06876284,0.002905648,0.02343081],"study_design_scores_gemma":[0.000002718837,0.00001480804,0.0001778227,0.0000196837,0.000009289889,0.00004995045,0.0000298629,0.9821166,0.0006120307,0.011171,0.005783633,0.00001249434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01474207,0.001558477,0.9681636,0.0005672349,0.0002164729,0.00003738491,0.0003741393,0.0004915253,0.01384902],"genre_scores_gemma":[0.8234268,0.00773172,0.133845,0.0003402482,0.0004197468,0.0002356649,0.001283083,0.0003188962,0.03239888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009249818,"threshold_uncertainty_score":0.01839191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08809869629749623,"score_gpt":0.2543081823831316,"score_spread":0.1662094860856354,"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."}}