CO-CAVITY pilot survey: Molecular gas and star formation in void galaxies (<i>Corrigendum</i>)
Bibliographic record
Abstract
We have noticed an error related to the CO-to-H2 conversion factor (aCO) for the extended CO Legacy Database for the GALEX Arecibo SDSS Survey (xCOLD-GASS, Saintonge et al. 2017) control sample in Sect. 2.2.2. We had indicated that the molecular gas masses of xCOLD-GASS that we used in our paper were based on a fixed aCO = 3:2 M· (K km s-1 pc2)-1, the same as used for our void galaxies. This was wrong. We used the molecular gas data from the xCOLD-GASS sample presented in Saintonge et al. (2017). These data are based on a CO-to-H2 conversion factor calibrated by Accurso et al. (2017), which is metallicity-dependent and has a second-order dependence on the offset of a galaxy from the star-forming main sequence.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.011 |
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".