Repeatability of condition indices in captive greenfinches (<i>Carduelis chloris</i>)
Bibliographic record
Abstract
Animal ecologists often encounter a major problem when they wish to use individual condition indices measured at some point in an animal's life cycle as a reference to some persistent component of individual phenotypic quality. It is therefore important to know the time period for which a certain measurement is valid. We measured both short-term (48 days) and long-term (over 4 months) repeatabilities of 17 condition indices in captive greenfinches (Carduelis chloris). All studied traits (leukocyte counts and serum protein concentration and profile, serum triglyceride concentrations, body mass, basal metabolic rate (BMR), and spontaneous locomotory activity) revealed significant and moderate to high repeatabilities within the 4- and 8-day periods. Hence, all these traits are suitable for detecting short-term experimental effects upon an individual's physiology. Leukocyte variables (total leukocyte count, heterophil and lymphocyte hemoconcentrations, and heterophil/lymphocyte ratio), BMR, and body mass revealed significant individual consistency within the 4-month period. These variables thus reflect relatively long-term components of individual condition and may appear suitable for exploring the relationships between individual phenotypic quality, life-history traits, and signal traits.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".