Leaf fall in white birch (<i>Betula pubescens</i>) is independent of leaf asymmetry
Bibliographic record
Abstract
Developmental instability, reflected by high fluctuating asymmetry, frequently indicates low fitness of an organism. However, it remains unknown whether in modular organisms, like plants, asymmetry is linked with performance at the level of individual metamers. To explore within-tree relationships between fluctuating asymmetry and leaf longevity, each third day between 22 August and 10 October 2001, leaves were collected under two large trees of white birch (Betula pubescens Ehrh.). The date of leaf fall (a proxy of leaf life-span) was not linked with either leaf asymmetry or damage imposed by chewing insects. Similarly, leaves collected under 10 birches at the end of leaf fall in 2002 demonstrated the same asymmetry as leaves collected at the beginning of leaf fall. These results suggest that leaf longevity in white birch is independent of leaf asymmetry.Key words: leaf longevity, fluctuating asymmetry, within-tree variation.
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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 | 0.000 |
| 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 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".