Évolution saisonnière de la composition foliaire de<i>Stipa tenacissima</i>L. en éléments minéraux et en fibres pariétales
Bibliographic record
Abstract
The leaf composition of Stipa tenacissima L. in mineral elements and parietal fibers presents a seasonal quantitative variation confirmed by statistical analysis. A principal components analysis showed two essential groups of biochemical variables correlated in spring and summer, translating so the influence of these two seasons on their reworking in the alfa leaves. The first group correlated at the summer seems, making up a biochemical strategy of adaptation to the conditions of summer pause. It is represented by lignin, cellulose, total fibers, potassium and copper. The second group correlated at spring, biological phase where the conditions of growth are optimal, is consisted of pectins, hemicelluloses, nitrogen, magnesium, iron and phosphorus. Comparatively to the mineral matter's weak rate, the parietal fibers, particularly the cellulose and hemicelluloses, are the major compounds in alfa leaves.
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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".