Functional traits in arborescent Cactaceae: a guideline for their measurement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The need to understand the impacts of global change on ecosystems has driven interest in studying functional traits, which represent morphological, physiological, or phenological adaptations that determine the ecological performance of organisms. Although standardized methods exist for assessing functional traits in woody and herbaceous plants, protocols for arborescent cacti are still scarce. Cactaceae is a tropical American plant family that reaches high abundance in tropical dry ecosystems and encompasses a great diversity of form and size. Cacti perform fundamental ecosystem functions, are on the list of the most endangered plants globally and represent economically-impactful invasive species outside of the Americas. Here, we propose protocols to measure 12 functional traits in cacti, which are grouped into structural (two traits), morphological (seven traits), hydraulic–mechanical (two traits) and biophysical (one trait) categories, so as to complement ecological studies of plants and improve the understanding of their life cycle and the main environmental challenges faced by cacti.
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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 | 0.001 | 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 it