{"id":"W1555911816","doi":"10.1109/pimrc.2002.1046586","title":"The multimedia broadcasting services using digital terrestrial television","year":2003,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Digital terrestrial television; Digital television; Computer science; Repeater (horology); Digital Video Broadcasting; Terrestrial television; Multimedia; Robustness (evolution); Digital multimedia broadcasting; Digital broadcasting; DVB-T; Broadcasting (networking); Telecommunications; Interactive television; Transmission (telecommunications); Channel (broadcasting); Broadcast television systems; Computer network; Orthogonal frequency-division multiplexing; Encoding (memory)","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":[0.0001106628,0.0001048781,0.00007755856,0.00004050414,0.0002670063,0.000235722,0.0003061872,0.00006233514,0.00001016472],"category_scores_gemma":[0.000152072,0.00007014788,0.00003409807,0.0001779109,0.00004779747,0.0001831722,0.00006762748,0.000149835,0.00002075616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002745281,"about_ca_system_score_gemma":0.000008064773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000144502,"about_ca_topic_score_gemma":0.00001075426,"domain_scores_codex":[0.999419,0.00001268358,0.0001835608,0.00008747396,0.00008243756,0.0002148155],"domain_scores_gemma":[0.999338,0.0002256124,0.00002745453,0.0003695869,0.00001490073,0.00002443795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005551838,0.00003209768,0.003524762,0.00002950721,0.00005126042,0.000003116171,0.0001950022,0.01327136,0.007694788,0.0007542285,0.0005559568,0.9738824],"study_design_scores_gemma":[0.0004283767,0.00002527707,0.0003658588,0.00007540826,0.00001230851,0.00004046483,0.001451807,0.8553581,0.007442069,0.0007397804,0.1337162,0.0003443087],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752519,0.001115969,0.007060924,0.00005688884,0.0004433098,0.0001627417,0.000003413153,0.001800861,0.01410403],"genre_scores_gemma":[0.9745314,0.00006991734,0.02529598,0.000004673867,0.0000345054,0.000003970062,0.000002504837,0.00001784546,0.00003922624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.973538,"threshold_uncertainty_score":0.2860547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920137852223349,"score_gpt":0.2347171309591315,"score_spread":0.215515752436898,"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."}}