Herb-chronology as a tool for determining the age of perennial forbs in tropical climates
Bibliographic record
Abstract
Age in wild plant populations is one of the most elusive developmental parameters in plant biology. Several approaches take advantage of a plant’s morphological traits to determine developmental stages or plant age. Annual growth rings forming in woody tissues of perennial plants are one of the traits that have been widely used to determine the age of trees (dendrochronology) and, more recently, herbaceous perennials (herb-chronology). In temperate, alpine, and arctic climates, it has been reported that seasonal variations in climate lead to the formation of annual growth rings in herbaceous perennial forbs; however, to date, no similar studies have been carried out on plants from tropical regions. We have investigated the applicability of herb-chronology on the tropical plant Pentalinon andrieuxii (Müll. Arg.) B.F. Hansen & Wunderlin, a native vine of the Yucatan peninsula. Our results show that herb-chronology is a potentially useful tool in determining the age of plants growing in tropical climates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".