What's new with FASTBUS and what's it done in the particle accelerator laboratories
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.
Bibliographic record
Abstract
Implementations of FASTBUS have been made in accelerator laboratories worldwide, resulting in clarifications, modifications and extensions of the specifications. Of tremendous benefit to users have been FASTBUS Standard Routines. The availability of such standard software is unique for high-speed bus systems and resulted from the involvement of hardware and software specialists in all aspects of the development. FASTBUS is the highest-performance instrumentation and data acquisition bus in existence and its development was essential to handle the outputs of detectors used with high-energy accelerators now in operation. It has been an important factor in experiments, including the Z/sup 0/ measurements at CERN, Fermilab, and SLAC (Stanford Linear Accelerator Center). Also among numerous FASTBUS implementations are those for TPC (TOPAZ Time Projection) systems at KEK (Japan National Laboratory for High Energy Physics) and BNL (Brookhaven National Laboratory).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it