Bibliographic record
Abstract
It is shown by techniques of spectrum disentangling that both components of the composite-spectrum binary o Leo ( V = 3.52 mag) have Am characteristics, even though the primary is an evolving giant (log g = 3.25) with T eff ∼ 6100 K. This is believed to be the first isolation of such a cool Am star, and the finding challenges the theories of diffusion, which are widely accepted as the cause of metallicism. The primary component of o Leo appears to be deficient in Ca and Sc, as are classical Am stars—though the δ Del stars which are described as evolved Am stars are not—and therefore seems to be in a class on its own. It is suggested that the unusual state of the primary component is attributable either to its current state of rapid evolution or to regular Am-star evolution that is difficult to recognize spectroscopically. This paper describes the technical problems that have hitherto prevented the identification of such unexpected properties in this easily observed binary, determines the physical parameters of the component stars, examines their evolutionary states, and debates the possible classification of the giant component. Future directions for this work will include detailed chemical composition analyses and an observing program designed to search for other cases of substantially evolved Am stars.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".