Bibliographic record
Abstract
SDI was invented to carry all commonly used professional digital video formats in a single data rate of 270 Mb/s. With HDTV it added a 1.5Gb/s layer to carry all HD formats. SDI infrastructures automatically carried both 270 Mb/s and 1.5 Gb/s signals, and so were universal. In 2005 a 3Gb/s layer was added, and UHDTV has recently raised the game once again, by increasing the data rates, and also with an explosion of different formats. SDI has responded with multi-link 3G-SDI, and by adding layers at 6Gb/s and 12Gb/s, with a 24 Gb/s layer in the pipeline. This paper describes how SDI is used to transport all streamed media, from SD to UHD. In particular it highlights the use of gearbox technology for seamless zero-latency bridging between SDI layers. This flexibility allows an evolutionary move from HD to UHD without wholesale replacement of expensive and mission-critical infrastructure.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".