Bibliographic record
Abstract
On behalf of the Organizing and Program Committees, it is our great pleasure to welcome you to the 17th Annual IFIP International Conference on Very Large Scale Integration, VLSI-SoC′09, in the city of Florianópolis, Brazil. The conference is held in the Jurerê Beach Village Hotel. VLSI-SoC 2009 is the 17th in a series of international conferences, sponsored by the International Federation for Information Processing (IFIP, Technical Council 10, Working Group 10.5 (VLSI)), IEEE CEDA and IEEE Circuits and Systems Society that explores the state-of-the-art and the new developments in the fields of VLSI/ULSI, microelectronics design and test, and integrated mixed-technology devices. Previous conferences have taken place in Edinburgh, Trondheim, Tokyo, Vancouver, Munich, Grenoble, Gramado, Lisbon, Montpellier, Darmstadt, Perth, Nice, Atlanta and Rhodes. Conferences are held annually since 2005, and this is the second time the conference is held in Brazil.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.543 | 0.569 |
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 source (direct Gemma or distilled Codex), 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".