A quantitative analysis of leaf growth parameters in<i>Myriophyllum aquaticum</i>(Haloragaceae)
Bibliographic record
Abstract
This quantitative developmental study examines various parameters associated with the growth of leaves of Myriophyllum aquaticum (Vell.) Verdc. on different shoot systems from a single clonal plant to determine the dynamics of growth processes during the development of a normal, typical leaf. Early stages of development, representing the morphogenetic phase of leaf formation, were used to document the growth rate of leaves, the dynamics of leaf lobe formation, the location of initiation of leaf lobes, and allometric relationship between leaves and leaf lobes. Even though there were variations in maximum leaf length between shoot systems, similar growth patterns were observed. In addition, during the exponential phase of growth, the location of initiation of those lobes was constant in each shoot system. There was a positive correlation between the rate of growth of leaves and the rhythm of initiation of lobes resulting in the formation of strikingly similar leaf morphologies regardless of whether the leaf is long with more lobes or short with fewer lobes. An allometric relationship between leaf length and the length of its lobes was observed. To our knowledge, this has never been noted in a system like this. The existence of constant parameters of growth is essential to maintain some degree of consistency but variations in the modalities of those parameters allow for flexibility within the system. For example, the interplay between rates of leaf growth and duration of growth can explain the range of maximum leaf length observed or can be viewed as a way of using different means to achieve similar end products (fast rate of growth and short duration versus slower rate of growth and longer duration).
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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) | 0.001 | 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".