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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".