Galaxies bulge & disk data from SHARDS & HST (Costantin+, 2022)
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
We combine the spectral resolution of the SHARDS observations with the high spatial resolution of the Hubble Space Telescope (HST) Advanced Camera for Surveys and Wide Field Camera 3 (WFC3) images. In particular, we use seven filters for HST images from the optical to the near-infrared wavelength range 0.475-1.600ru and the 25 filters of SHARDS in the optical wavelength range 0.500-0.941um (see Grogin+ 2011ApJS..197...35G ; Koekemoer+ 2011ApJS..197...36K ; Perez-Gonzalez+ 2013, J/ApJ/762/46 and Barro+ 2019, J/ApJS/243/22 for details). To provide a more robust constraint on the stellar mass, we complement this data set with the K-band information at ~2.1um provided by the Canada-Francer-Hawaii Telescope WIRCam data (Hsu+ 2019, J/ApJ/871/233).
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.013 | 0.026 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.260 | 0.001 |
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