PHANGS-JWST: the largest extragalactic molecular cloud catalog traced by polycyclic aromatic hydrocarbon emission / Online material - Appendix C.1
Bibliographic record
Abstract
Top left: The continuum-subtracted images of the galaxy. Top right: The identified PAH clouds using SCIMES. The flagged clouds are in grey, non-flagged in green, and PAH clouds with CO cloud counterparts in red. Middle left: Sigma_mol violin plots per galactic environment for the specific galaxy (transparent), and the full sample (colored). The median values and number of PAH clouds per environment are also represented in the plot. Middle center: log(M_mol )-log(R_eq) scaling relation for the PAH clouds in the galaxy (blue), clouds per galactic environment in the galaxy (see colors in plot), and for the full sample (black). The median values are also represented in the plot per galactic environment. Middle right: The global mass spectra (black), galaxy-specific mass spectra (blue), and per galactic environment in the galaxy. The fit values for the galaxy-specific mass spectra are displayed in the plot. Bottom: The \sigmol\ (left), \Mmol\ (center), and \Reff\ (right) as a function of R_gal. A scatterplot of the PAH clouds, colored by the density of clouds, is also represented in the plots. The running galaxy median (filled blue circles) is plotted for a bin width of 0.1 R_e. The grey-shaded region represents the interquartile range of the medians per galaxy. The error bars on the median are the standard errors (1.253 x sigma/sqrt(N)), where N is the number of clouds contributing to a specific bin. The blue and black dashed lines represent the median property of the galaxy and the full sample, respectively.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.277 | 0.139 |
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".