{"id":"W2004882326","doi":"10.1109/pimrc.2010.5671859","title":"Radio channel characterization through leaky feeder for different frequency bands","year":2010,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Narrowband; Wideband; Channel (broadcasting); Power-line communication; Computer science; Electronic engineering; Mobile telephony; Transmission (telecommunications); Electrical engineering; Telephony; Radio frequency; Frequency band; Telecommunications; Radio spectrum; Power (physics); Digital radio; Mobile radio; Engineering; Bandwidth (computing)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001719187,0.0002008856,0.0002105439,0.0005274151,0.0001540796,0.0002204489,0.000130501,0.000237713,0.001158004],"category_scores_gemma":[0.0004712352,0.00008250235,0.00009242378,0.0004172885,0.0002124281,0.0003512564,0.0001452258,0.0001302265,0.000180815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562342,"about_ca_system_score_gemma":0.00008826461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401815,"about_ca_topic_score_gemma":0.001528021,"domain_scores_codex":[0.9998193,0.0000287899,0.000005743622,0.00004124105,0.00006968329,0.00003516781],"domain_scores_gemma":[0.9993012,0.000290967,0.0001531266,0.00006466411,0.0001623338,0.00002765727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009538355,0.0000948769,0.03175077,0.0001931732,0.00008345219,0.0004762249,0.0007460978,0.05239544,0.8668707,0.0008316887,0.0005140916,0.04508968],"study_design_scores_gemma":[0.00004141284,0.0009398201,0.09228346,0.00002510764,0.0001114804,0.001001628,0.0007601215,0.175241,0.7250444,0.0005987717,0.003863478,0.0000892468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869883,0.0001288706,0.01195105,0.00001412425,0.000003217968,0.000006687214,0.0001565986,0.0001392052,0.0006120814],"genre_scores_gemma":[0.9983335,0.00005140234,0.001206617,0.000002966552,0.000001213684,0.000003667327,0.0000658018,0.000006771001,0.0003280328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001401815,"threshold_uncertainty_score":0.003873885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045096952797144,"score_gpt":0.2223639573438916,"score_spread":0.2019129878159202,"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."}}