{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004788764,0.0002476436,0.0001749531,0.0009282381,0.0005963223,0.001039852,0.0004380627,0.0007293108,0.01219575],"category_scores_gemma":[0.001649362,0.0001181177,0.0002313211,0.001310007,0.00048499,0.001038368,0.0006772882,0.0003957709,0.001624319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003898058,"about_ca_system_score_gemma":0.0002709662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195363,"about_ca_topic_score_gemma":0.001176224,"domain_scores_codex":[0.9994652,0.0002064836,0.00002110159,0.0000321988,0.0002197365,0.00005533732],"domain_scores_gemma":[0.9994473,0.0003273269,0.00003493069,0.00005069358,0.0001119662,0.0000277356],"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":[0.000670846,0.0002879948,0.005120447,0.001094641,0.0000703752,0.00176813,0.001178886,0.01055474,0.1911951,0.1309587,0.00746614,0.6496341],"study_design_scores_gemma":[0.0004434732,0.005023172,0.01426288,0.0008551362,0.000523422,0.01221437,0.00204345,0.06081946,0.4104666,0.06385916,0.4292468,0.000242149],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2584597,0.009291049,0.3012547,0.002272477,0.0003333245,0.0007389094,0.0003748619,0.001453329,0.4258218],"genre_scores_gemma":[0.7924315,0.01108995,0.1508147,0.000506659,0.0003707575,0.0002690635,0.0003275576,0.0001058547,0.04408409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01219575,"threshold_uncertainty_score":0.0407989,"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."}}