Dwarf galaxies photometry & structures (Carlsten+, 2021)
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
For our primary observational sample we use results from the ongoing Exploration of Local VolumE Satellites (ELVES) survey to obtain a nearly volume-limited sample of many well-surveyed satellites systems in the Local Volume (LV; D<12Mpc). For much of the survey, we are making use of the DESI Legacy Imaging Surveys (Dey+ 2019AJ....157..168D), which includes both the Beijing-Arizona Sky Survey (BASS; Zou+ 2017PASP..129f4101Z & 2018ApJS..237...37Z) and the DECam Legacy Survey (henceforth we refer to all these surveys together as DECaLS). We then use deeper Canada-France-Hawaii Telescope (CFHT) MegaCam, Subaru Hyper Suprime-Cam (HSC), or Gemini Multi-Object Spectrographs (GMOS) imaging to measure the dwarf distances via SB fluctuations (SBFs). We include results using Gemini programs FT-2020A-060 and US-2020B-037 (PI: S. Carlsten). The rest of the data used are all archival.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.011 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.154 |
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