Bibliographic record
Abstract
Abstract Empirical transformations of selected broadband filters in the Hubble Space Telescope Wide Field Camera 3 (WFC3)/UVIS camera into the BVI system are derived. These conversions employ photometry of stars in a standard field in the globular cluster 47 Tucanae that has repeatedly been imaged with both the WFC3 and Advanced Camera for Surveys (ACS) cameras, enabling direct comparisons of photometry for large numbers of stars over a wide range of colors. The photometry of these stars on the ACS camera is used to define their BVI magnitudes, through the standard transformations from Sirianni et al. These BVI magnitudes are then used to define the conversions from the native WFC3 filter system. Results are presented for six WFC3 broadband filters: F438W, F475W, F475X, F555W, F606W, F814W. For these, convenient equations are given to transform (F438W, F475W, F475X) into standard B, (F555W, F606W) into V, and F814W into I. In a parallel study with the same database, a new transformation is presented for conversion of the ACS/WFC F475W filter into B.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".