{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724097,0.0002559749,0.0001994159,0.0004597823,0.0003490525,0.0002922241,0.0002757414,0.0002746688,0.0007629585],"category_scores_gemma":[0.0005665937,0.0001170867,0.00007371207,0.001006111,0.0002511566,0.0002037465,0.0003760793,0.0003079849,0.0002484245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490316,"about_ca_system_score_gemma":0.0001908789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003862204,"about_ca_topic_score_gemma":0.01025337,"domain_scores_codex":[0.9997285,0.00005375835,0.000005567343,0.00004115095,0.00009345129,0.0000775391],"domain_scores_gemma":[0.99963,0.0001075833,0.00006053343,0.00005883013,0.0001077007,0.00003538691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002369323,0.0008205925,0.2348023,0.000412015,0.0002515194,0.002660873,0.001852119,0.372694,0.2420347,0.00415284,0.01073548,0.1272142],"study_design_scores_gemma":[0.0002865097,0.001733603,0.4816774,0.00003594635,0.0001665734,0.00129472,0.002041332,0.3503528,0.1488921,0.001435274,0.01193922,0.0001445672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917136,0.00002775181,0.004539681,0.00003267019,0.000005984808,0.00001274629,0.0005557658,0.0001789002,0.002932824],"genre_scores_gemma":[0.998728,0.00002305213,0.0005776545,0.000009515664,0.000003804881,0.000008332432,0.0003803268,0.000008545353,0.0002608523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003862204,"threshold_uncertainty_score":0.007679462,"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."}}