{"id":"W2953069317","doi":"10.48550/arxiv.1605.08815","title":"Dense Urban Channel Measurements for Utility Pole Fixed Wireless Links","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Directional antenna; Channel (broadcasting); Wireless; Backhaul (telecommunications); Spatial correlation; Radio channel; Delay spread; Antenna (radio); Broadside; Computer science; Electronic engineering; Acoustics; Telecommunications; Physics; Optics; Engineering; Fading","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003015328,0.000364422,0.0003579235,0.0001962557,0.0001255127,0.00003917129,0.0004235042,0.0005657275,0.00005755992],"category_scores_gemma":[0.00003103378,0.0003962445,0.0002651989,0.0001170316,0.00004862598,0.0001149544,0.0002479875,0.0004813489,0.00005213085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529389,"about_ca_system_score_gemma":0.00006817088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002098223,"about_ca_topic_score_gemma":0.00002695469,"domain_scores_codex":[0.9985099,0.00005690052,0.000257168,0.0006624166,0.00009534143,0.0004182961],"domain_scores_gemma":[0.9987631,0.00005020568,0.0001068752,0.0006440987,0.0002415588,0.0001941235],"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":[0.0009237341,0.0005395146,0.0089917,0.004697959,0.002917106,0.000135156,0.002225431,0.9034519,0.05019575,0.003673699,0.01109023,0.01115785],"study_design_scores_gemma":[0.001175512,0.00002434268,0.0001761311,0.0002679235,0.0001652265,9.909254e-7,0.00004914639,0.9670867,0.02211603,0.007712399,0.000523599,0.0007019538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3085313,0.00008801095,0.6882892,0.00002134985,0.0007092491,0.0004799875,0.0001079915,0.0003226798,0.001450298],"genre_scores_gemma":[0.9985013,0.00009654216,0.0002343446,0.00003983239,0.0001778713,0.000006445165,0.0000569697,0.00006505661,0.0008216623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.68997,"threshold_uncertainty_score":0.999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470473332013652,"score_gpt":0.1967003469669689,"score_spread":0.04965301376560377,"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."}}