9th International Particle Accelerator Conference, IPAC18
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
Preface Introduction The ninth International Particle Accelerator Conference, IPAC’18, took place at the J.W. Marriott Parq Hotel, Vancouver, British Columbia, Canada from Sunday to Friday, April 29 to May 04, 2018. IPAC’18 was attended by 1,276 delegates from 31 countries on all continents. The tally includes 125 industry delegates, but excludes the 88 exhibitor registrations. Hosted by the TRIUMF Laboratory, the conference was organized under the auspices of the Institute of Electrical and Electronics Engineers (IEEE), and the American Physical Society Division of Physics of Beams (APS‐DPB). Established in 1968 in Vancouver, TRIUMF is Canada’s particle accelerator centre. Delegates and Exhibitors were supported by a 26‐ member Local Organizing Committee (LOC) volunteered by TRIUMF. 214 young scientists from all over the globe attended the conference. 99 of these students received travel grants thanks to the sponsorship of societies, institutes and laboratories worldwide. The Americas region sponsors are: APS, NSF and TRIUMF. The Asia region sponsors are: ANSTO, IHEP, RIKEN, KEK, SSRF and PAL. The Europe region sponsors are: CEA, CELLS, CERN, Cockcroft, DESY, Diamond, ELETTRA, ESRF, ESS, GANIL, GSI, HZB, INFN, in2p3, KIT, MAXIV, PIS, SOLEIL, STFC. The IPAC’18 budget contributed $20,000 student grants to each region. The organizers of IPAC’18 are grateful to all sponsors for their valued support of students.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 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