A method for multiple intra-ring demarcation of coniferous trees
Bibliographic record
Abstract
Earlywood (E) and latewood (L) are arbitrary concepts, by consequence, the E/L demarcation method is as well.The threshold method has been widely used in wood anatomy as well as wood density.Because of the presence of the intra-annual variation in tree-ring structure, however, the conventional threshold method needs adjustment in an objective and effective way.We suggest the analysis of the error zone method for this adjustment.The method was tested with 500 radial cell files of mature balsam fir, and showed its potential as an objective, robust and easily applicable adjustment tool. multiple intra-ring demarcation / intra-ring variation / wall-lumen ratio / Mork's definition / wood anatomyRésumé -Une méthode pour la démarcation intra-cerne multiple de conifère.Le bois initial et le bois final sont des concepts arbitraires, de même que leur démarcation.La méthode de seuil est appliquée généralement dans le domaine de l'anatomie et de la densité du bois.Mais, la méthode conventionnelle du seuil nécessite des ajustements parce qu'il y a des variations dans la structure du cerne.Nous suggérons la méthode de l'analyse de la zone d'erreur pour effectuer cet ajustement.La méthode suggérée a été vérifiée avec 500 files radiales de cellules de sapin baumier matures, et elle a démontré son potentiel comme un moyen objectif, robuste et facile à appliquer. démarcation intra-cerne multiple / variation intra-cerne / ratio parois-lumen / définition de Mork / anatomie du bois
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".