Une analyse de la variabilité des volumes de bois mort observée dans les haies de Vénétie (Italie)
Bibliographic record
Abstract
Le bois mort est une importante composante pour la diversité biologique et structurelle de l’écosystème forestier, mais ce rôle-clé est joué également dans d’autres écosystèmes naturels, par exemple les haies dans les zones rurales. Le présent article illustre la méthode et les résultats d’une recherche réalisée en Vénétie (Italie) sur l’évaluation quantitative et qualitative du bois mort dans les haies. Cette recherche présente en particulier les relations entre les différents types (arbres morts sur pied et arbres ou fragments au sol) et composantes du bois mort (bois mort de différentes dimensions présentant divers degrés de décomposition) et les principales caractéristiques des haies (essence prédominante, fonction et type de gestion).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".