Elemental Abundance Analyses with DAO Spectrograms XXXVII. The Normal A0 IV Star γ Geminorum
Bibliographic record
Abstract
We performed a fine analysis of the normal sharp-lined A0 IV star γ Geminorum with spectra having signal-to-noise ratios at the continuum of 500–1200 that were consistent with previous studies of this series. Our spectra have wavelength ranges of λλ3829–4730, 4873–4931, 4983–5042, and 5070–5210. The spectra measured with the program REDUCE have a two-pixel resolution of 0.072 Å. We used ATLAS9 models and the program WIDTH9 to derive the abundances of the metals. Most derived abundances are close to solar with the abundances of the heaviest elements Zr, Ba, La, Ce, and Nd showing greater than solar values. This suggests by comparison with the abundances of other normal and Am stars that γ Gem might exhibit an incipient Am star phenomenon.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".