\n GYES, A Multifibre Spectrograph for the CFHT\n
Bibliographic record
Abstract
\n We have chosen the name of GYES, one of the mythological giants with one hundred arms,\n offspring of Gaia and Uranus, for our instrument study of a multifibre spectrograph for\n the prime focus of the Canada-France-Hawaii Telescope. Such an instrument could provide an\n excellent ground-based complement for the Gaia mission and a northern complement to the\n HERMES project on the AAT. The CFHT is well known for providing a stable prime focus\n environment, with a large field of view, which has hosted several imaging instruments, but\n has never hosted a multifibre spectrograph. Building upon the experience gained at GÉPI\n with FLAMES-Giraffe and X-Shooter, we are investigating the feasibility of a high\n multiplex spectrograph (about 500 fibres) over a field of view one degree in diameter. We\n are investigating an instrument with resolution in the range 15 000 to 30 000, which\n should provide accurate chemical abundances for stars down to 16th magnitude and radial\n velocities, accurate to 1 km s-1 for fainter stars. The study is led by\n GÉPI-Observatoire de Paris with a contribution from Oxford for the study of the\n positioner. The financing for the study comes from INSU CSAA and Observatoire de Paris.\n The conceptual study will be delivered to CFHT for review by October 1st 2010.\n
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.009 |
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".