{"id":"W2167895949","doi":"10.1109/issse.2007.4294443","title":"A Study on the Channel and Signal Cross Correlation of UHF DTV Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Ultra high frequency; Channel (broadcasting); Digital television; Computer science; SIGNAL (programming language); Autocorrelation; Electronic engineering; Digital broadcasting; Wireless; Wideband; Broadcasting (networking); Telecommunications; Digital Video Broadcasting; Envelope (radar); Frequency band; Electrical engineering; Engineering; Bandwidth (computing); Computer network; Mathematics; Statistics","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":[0.0004627842,0.0003841818,0.0002980201,0.0007031836,0.0002481757,0.0004496946,0.0002588913,0.0003336612,0.001484409],"category_scores_gemma":[0.00308653,0.0001404067,0.0003186961,0.001065662,0.000460923,0.0009158747,0.0002418818,0.00046683,0.0002514775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304544,"about_ca_system_score_gemma":0.000292264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323974,"about_ca_topic_score_gemma":0.0007791526,"domain_scores_codex":[0.9995824,0.0000787473,0.000009317925,0.00009157525,0.0001704659,0.00006756136],"domain_scores_gemma":[0.9974323,0.001623503,0.0002549251,0.0001835647,0.000452937,0.00005279121],"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":[0.000729161,0.00021823,0.02960945,0.0004956272,0.0003036383,0.002599861,0.0005902094,0.3937467,0.2314354,0.1383548,0.002224088,0.1996929],"study_design_scores_gemma":[0.00001053022,0.0002730706,0.03844194,0.0000278414,0.00008865287,0.002223149,0.0001304802,0.9019602,0.0436672,0.008157154,0.00493347,0.00008619787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.45996,0.001684479,0.5278773,0.0001784907,0.00008954787,0.00003312854,0.0001696831,0.0001837584,0.00982365],"genre_scores_gemma":[0.9756876,0.001183151,0.02006358,0.00004100992,0.00009732767,0.000017706,0.0002090073,0.00005442619,0.00264616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001484409,"threshold_uncertainty_score":0.004965782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03776161430532425,"score_gpt":0.273534788001957,"score_spread":0.2357731736966327,"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."}}