Stem profile equations for young trembling aspen in northern Ontario
Bibliographic record
Abstract
Stem profile equations were developed for young trembling aspen (Populus tremuloides Michx.)growing on 6 different sites in northern Ontario.The objective was to develop a model using stem diameter at any height to predict stem diameter at other heights and then compare the model among sites.The 262 sample trees were split into calibration (180) and validation (82) sets.Four stem profile models having from 1 to 3 parameters were tested for parameter significance for each site, and then compared among sites.Data analysis was performed using bootstrap methods.One of the 4 models was not significantly different (P > 0.278) among sites.Validation of this model produced mean prediction errors and mean relative prediction errors of less than 0.001 cm and 0.09%, respectively; standard deviations of these errors were 0.15 cm and 4.09%, respectively.The presented method can be used to develop stem profile equations that are applicable to a broad range of growing conditions. Populus tremuloides / stem profile models / stem diameter / bootstrap methodsRésumé -Équations de profil de tige de jeunes trembles de l'Ontario septentrional.On a mis au point des équations de profil de tige pour des trembles (Populus tremuloides Michx.)se développant dans 6 stations différentes du nord de l'Ontario.L'objectif était de créer un modèle utilisant le diamètre pris à n'importe quelle hauteur pour prédire le diamètre à d'autres hauteurs et ensuite pour comparer les modèles selon les sites.Les 262 arbres témoins ont été affectés soit au calibrage (180) soit à la validation (82).Sur quatre modèles comportant de 1 à 3 paramètres, on a d'abord testé le caractère significatif des paramètres dans chaque site, puis procédé à des comparaisons entre sites.Pour l'analyse des données on a utilisé les méthodes « bootstrap ».L'un des 4 modèles ne présentait pas de différence significative (P > 0,278) entre sites.La validation de ce modèle inique une prédiction d'erreur moyenne et d'erreur relative moyenne respectivement inférieurs à 0,001 cm et 0,09 %.Les écarts types de ces erreurs étaient de 0,15 cm et 4,09 %.La méthode présentée peut être utilisée pour développer des équations de profil de tige applicables à une vaste gamme de conditions de croissance. Populus tremuloides / diamètre de tige / méthodes « bootstrap »
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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 | 0.001 |
| 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) | 0.001 | 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".