{"id":"W2100068250","doi":"10.1109/wpmc.2002.1088292","title":"Multimedia broadcasting using digital television terrestrial transmission systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Broadcasting (networking); Computer science; Transmission (telecommunications); Terrestrial television; Digital television; Digital broadcasting; Multimedia; Wireless; Telecommunications; Wireless transmission; Digital audio broadcasting; Digital multimedia broadcasting; Digital terrestrial television; Computer network","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":[0.0005017299,0.0000841178,0.0001269783,0.0000913273,0.000721236,0.0001236136,0.0002778385,0.0001683583,0.0002396817],"category_scores_gemma":[0.0008210866,0.00007353541,0.00004713898,0.0002410123,0.0001713487,0.0002368741,0.00005523349,0.0001428798,0.00003912718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000063108,"about_ca_system_score_gemma":0.0001107494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141763,"about_ca_topic_score_gemma":0.00004319696,"domain_scores_codex":[0.9988756,0.0002092863,0.0002348305,0.000158002,0.0002700007,0.000252333],"domain_scores_gemma":[0.9992714,0.0002790102,0.00007510772,0.000213153,0.00003662076,0.0001247032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002846453,0.000258113,0.01071422,0.00001581416,0.00002673396,0.000008485016,0.01207099,0.0001368126,0.004535147,0.03866192,0.0005515701,0.9329917],"study_design_scores_gemma":[0.00157497,0.00004183885,0.000115349,0.0001108767,0.00001663763,0.00001202024,0.01011217,0.09023754,0.0006617801,0.0007199403,0.8959788,0.0004180997],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4429355,0.001104244,0.08972137,0.001049699,0.002367313,0.001376854,0.000004229894,0.001332679,0.4601082],"genre_scores_gemma":[0.9901592,0.00005801157,0.008949148,0.00001632956,0.00009208167,0.000004243749,0.000002824393,0.000009007131,0.0007091547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9325736,"threshold_uncertainty_score":0.5547237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06984278495645879,"score_gpt":0.3446847028916943,"score_spread":0.2748419179352355,"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."}}