Costbenefit relationships in fronds emerging at different times in a deciduous fern,<i>Pteridium aquilinum</i>
Bibliographic record
Abstract
We studied the life-span and ecophysiological traits of "leaves" (fronds) that emerged at different times during the growing season in a deciduous herbaceous fern, Pteridium aquilinum (L.) Kuhn (in this paper we use "leaves" for fronds to be consistent with other studies on leaf phenology). Leaf life-span was shorter in later than in early cohorts. Leaf construction cost per unit mass was nearly constant among cohorts. Later cohorts had a lower leaf construction cost per unit leaf area with a lower leaf mass per area. Leaf life-span was positively correlated with construction cost per unit area. Late cohorts showed a slightly higher leaf nitrogen content per unit mass, but a lower nitrogen content per unit leaf area with a lower light-saturated photosynthesis per unit area. Light-saturated photosynthesis per unit area was positively correlated with leaf life-span. The ratio of leaf construction cost to light-saturated photosynthesis was lower in late cohorts, and the ratio was nearly proportional to leaf life-span, suggesting that late cohorts may pay back the construction cost despite their shorter life-span.Key words: leaf construction cost, leaf life-span, payback time, light-saturated photosynthesis, seasonal change.
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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 | 0.000 | 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) | 0.001 | 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".