Erratum: A detailed census of variable stars in the globular cluster NGC 6333 (M9) from CCD differential photometry
Bibliographic record
Abstract
Consequently, our derived period change rates for the RR Lyrae stars V14 and V18 in NGC 6333 are wrong. Repeating the analysis with the correct equations, we find P0 = 0.327 052 d at epoch E = 2455 323.3708 d and β ≈ +9.2 d Myr−1 for V14 and P0 = 0.341 370 d at epoch E = 2455 323.2745 d and β ≈ +4.0 d Myr−1 for V18. We find that the phased light curves for V14 and V18 using these new parameters (and equations) are noticeably improved as shown in Fig 1. Light curves of the two RRc stars V14 and V18 phased with a constant period (top panels) and with the ephemerides including a secular period variation given in the text (bottom panels). The colours refer to: blue, data from 1994–1995 (Clement & Shelton 1999), black and red, data from observations at Hanle and La Silla observatories, respectively, from Arellano Ferro et al. (2013). A colour version of this figure is available in electronic form.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".