High Performance Computing Symposium 2013 (HPCS 2013)
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
The Program committee of HPCS2013 would like to thank those who contributed to HPCS2013, through the technical program, the Birds of Feather sessions, the vendor overviews, the networking sessions, or for attending and grilling the speakers in all of theses sessions with great questions and contributing to fantastic discussions. We'd particularly like to highlight the best paper award presented at the conference, going to ‘‘The Making of Big Brain’’, presented by Marc-Étienne Rousseau for the Big Brain team; the best student paper for ‘‘Towards a Resource Reservation Approach for an Opportunistic Computing Environment’’, presented by Eliza Gomes; and the best visualization, to a movie of an amazing globe-to-individual-building level simulation of the evolution of a toxic plume over a city, presented by Bertrand Denis of the Canadian Meteorological Centre. It was a great conference, and we look forward to seeing you in Halifax for HPCS2014!
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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