{"id":"W2906758606","doi":"10.1109/milcom.2018.8599808","title":"Frequency Correlation Modelling for Tactical VHF Channels in Mountainous Terrain","year":2018,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; Defence Research and Development Canada","funders":"","keywords":"Coherence bandwidth; Wideband; Multipath propagation; Computer science; Bandwidth (computing); Frequency domain; Terrain; Delay spread; Wireless; Electronic engineering; Channel (broadcasting); Coherence (philosophical gambling strategy); Telecommunications; Statistics; Engineering; Mathematics","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":[0.0004082359,0.0004352215,0.0002718621,0.0005784442,0.0003056579,0.0005424995,0.0004198486,0.0004599454,0.0004046062],"category_scores_gemma":[0.001991403,0.0001677268,0.0003155016,0.0007855821,0.0003882835,0.0006087335,0.0002001275,0.0004203183,0.0001071185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004649641,"about_ca_system_score_gemma":0.0005424605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174635,"about_ca_topic_score_gemma":0.00998316,"domain_scores_codex":[0.9998388,0.0000391585,0.00000566277,0.00002628619,0.00005263576,0.00003731684],"domain_scores_gemma":[0.9992311,0.0004605514,0.0001290573,0.00007778694,0.00008585482,0.00001562348],"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":[0.00001749113,0.00001163921,0.002483351,0.00001183397,0.00001012237,0.00005868306,0.00004799723,0.9872805,0.002312593,0.00195333,0.0001079104,0.005704472],"study_design_scores_gemma":[0.000001389997,0.000009830339,0.00147716,0.000001669151,0.000002564387,0.00003180671,0.00001298718,0.9972904,0.0005285049,0.0004955166,0.0001423909,0.000005866555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4242146,0.0001880378,0.5728204,0.0001007288,0.0000130272,0.0000267416,0.0002007925,0.0003548173,0.002080746],"genre_scores_gemma":[0.9874649,0.0001364222,0.01181322,0.00001123325,0.000008846103,0.0000165922,0.0001241793,0.00003306627,0.0003916937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0174635,"threshold_uncertainty_score":0.0347237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466786031899993,"score_gpt":0.2535727119320167,"score_spread":0.2189048516130168,"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."}}