Influences of phenological differences on leaf-level carbon budget between the upper and lower crown of<i>Lyonia ovalifolia</i>
Bibliographic record
Abstract
To assess the significance of leaf phenology on leaf-level carbon budget, I measured seasonal changes in daily carbon budget of the upper and lower leaves within a single crown of Lyonia ovalifolia var. elliptica, a subcanopy tree species. Leaf-level carbon budget was evaluated as the product of area-based assimilation rates and leaf area minus leaf construction cost for a day. The area of the upper leaves gradually increased from spring to summer, whereas that of the lower leaves rapidly increased in early spring. Morphological, biochemical and physiological characteristics in lower leaves matured earlier than in upper leaves. Leaves in the lower crown produced a large amount of photosynthate (1.35 mg C·day−1) using the high light intensity of early spring. On the other hand the highest assimilation rate (5.23 mg C·day−1) was observed in late spring in the upper crown. Phenological differences in morphological and physiological characteristics among leaves in different positions within a crown can be interpreted as the acclimation to the seasonal changes in light acquisition for a leaf.
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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 | 0.000 | 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 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".