Bibliographic record
Abstract
We analyze the recent ground-based p-mode oscillation observations of η Boo by Kjeldsen and his collaborators using a large and dense grid of stellar model oscillation spectra parameterized by mass, age, and metallicity. The differences between the model and observed oscillation spectra are quantified by a χ2 formulation. Based on the seismic data alone we determine two possible solutions for η Boo's mass, age, and metallicity. One solution exhibits mode bumping and is within 1 σ of η Boo's observed luminosity, effective temperature, and metallicity, and the other solution does not exhibit mode bumping and is within 2 σ of η Boo's observed luminosity, effective temperature, and metallicity. We show how mode bumping (also associated with the terms "mixed modes" and "avoided crossings") can be used to fine-tune the age determination. We also show that the nonadiabatic model frequencies are in better agreement with the observed frequencies than the adiabatic frequencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 0.000 |
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 teacher head, 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".