{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005047363,0.0001297712,0.0001212345,0.00004202521,0.00006427259,0.00004266211,0.00007087085,0.00008739745,0.0002847594],"category_scores_gemma":[0.00001201944,0.0001093987,0.00005490331,0.0000434768,0.000009073678,0.0001748861,0.000008910632,0.0001139641,0.00002060138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001535408,"about_ca_system_score_gemma":0.000004869763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005710481,"about_ca_topic_score_gemma":0.00002188604,"domain_scores_codex":[0.9994239,0.000004264851,0.0001785313,0.0001358306,0.00007474279,0.000182684],"domain_scores_gemma":[0.9997293,0.0000142791,0.00002000221,0.0001431266,0.00004530389,0.00004802314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002538218,0.00001439208,0.0000483837,0.0000434415,0.00001680799,1.384054e-7,0.0002909469,0.0002478854,0.995597,0.001183058,0.0001412713,0.002414142],"study_design_scores_gemma":[0.0006105307,0.00003700555,0.001014208,0.00001397489,0.00001893241,0.000004212734,0.00002718864,0.421676,0.5718451,0.002297125,0.00212644,0.0003292436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3340218,0.00001369167,0.6626422,0.0001008307,0.0007387811,0.0001815773,0.00001036439,0.0002140977,0.002076689],"genre_scores_gemma":[0.9943701,0.0000577172,0.004348617,0.0001430921,0.0002776935,0.00007256116,0.0001608141,0.00003786851,0.0005315488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6603483,"threshold_uncertainty_score":0.4461151,"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."}}