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Record W1991946596 · doi:10.1109/tbc.2014.2310067

FOBTV: Worldwide Efforts in Developing Next-Generation Broadcasting System

2014· article· en· W1991946596 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Broadcasting · 2014
Typearticle
Languageen
FieldEngineering
TopicTelecommunications and Broadcasting Technologies
Canadian institutionsCommunications Research Centre Canada
FundersNational Key Research and Development Program of ChinaNational High-tech Research and Development ProgramHigher Education Discipline Innovation ProjectShanghai Jiao Tong UniversityNational Natural Science Foundation of China
KeywordsStandardizationBroadcasting (networking)TelecommunicationsBroadcast engineeringComputer scienceBroadcast lawRadio broadcastingEngineering managementEngineeringCommercial broadcastingComputer security

Abstract

fetched live from OpenAlex

The challenges facing the terrestrial broadcast industry are to how more efficiently and effectively use the scarce spectrum to deliver the vast amount of media data to the general public. Future of Broadcast Television Initiative (FOBTV) was founded by the broadcasters, manufacturers, network operators, standardization organizations, research institutes, and universities around the world, aiming at better solving these problems through global collaboration. Since its establishment, use cases for the future broadcast applications have been extensively collected and classified. Potential technologies applied for the summarized new application scenarios have been carefully studied and the most effective ones are highlighted. Moreover, FOBTV is trying to develop a layered model for the next-generation broadcasting system and taking great efforts toward the ultimate goal of a global harmonized terrestrial broadcasting system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.233
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it