Bibliographic record
Abstract
The 15th edition of the International Conference on Topics in Astroparticle and Underground Physics (TAUP 2017) was held from July 24 through 28, 2017 in Sudbury, Ontario Canada. It was organized and hosted by Laurentian University and SNOLAB with sponsorship and other support from the City of Greater Sudbury, IOP Publishing, the Institute of Particle Physics, the International Union of Pure and Applied Physicists, and Vale. The meeting attracted 350 participants from around the world: 31 countries were represented. The topics discussed at the meeting included Cosmology, Dark Matter, Neutrino Physics and Astrophysics, Gravitational Waves, High-Energy Astrophysics and Cosmic Rays, New Technologies, and the intersection of these fields. We were particularly pleased to open the meeting with a discussion of education, outreach, and inclusion and to have these themes continue throughout the week. List of TAUP 2017 Organizing Committee, TAUP-2017 International Advisory Committee, TAUP Steering Committee, Conference Schedule: Monday, July 24, Conference Schedule: Tuesday, July 25, Conference Schedule: Wednesday, July 26, Conference Schedule: Thursday, July 27, Conference Schedule: Friday, July 28, Poster Session, Monday Parallel Sessions: 1:00 PM - 3:00 PM, Monday Parallel Sessions: 3:30 PM - 5:30 PM, Tuesday Parallel Sessions: 1:00 PM - 3:00 PM, Tuesday Parallel Sessions: 3:30 PM - 5:30 PM, Wednesday Parallel Sessions: 1:00 PM - 3:00 PM, Wednesday Parallel Sessions: 1:00 PM - 3:00 PM, Wednesday Parallel Sessions: 3:30 PM - 5:30 PM, Wednesday Parallel Sessions: 3:30 PM - 5:30 PM, Thursday Parallel Sessions: 1:00 PM - 3:00 PM, Thursday Parallel Sessions: 3:30 PM - 5:30 PM are available in the pdf.
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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.615 | 0.463 |
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".