Comparing TIN random densification with the mean profile filter to minimize the ridging phenomenon in Service New Brunswick digital terrain models
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
Cet article presente les resultats d'une recherche sur la conception d'une approche pratique et eclairee permettant d'eliminer l'effet de « crete » ou « l'effet » « pyjama » dans environ 1890 modeles numeriques distincts de terrain au Nouveau-Brunswick, Canada. Le processus et les resultats de l'approche - TIN Random Densification (densification aleatoire TIN) -- sont decrits en detail et compares brievement a la methode « Mean Profile Filter (MPF) (filtre de profil moyen) » de la Geological Survey des E.-U. La methode MPF a ete concue pour atteindre le meme objectif que la densification aleatoire TIN. Les resultats des tests indiquent que l'approche de la densification aleatoire TIN a pu reduire de facon considerable les effets de crete sans nuire a la precision specifiee des fichiers des MNT. L'approche MPF a moins bien reussi, mais cela pourrait s'expliquer par la structure intrinseque des fichiers des MNT des Services Nouveau-Brunswick. Le processus de densification aleatoire TIN sera mis en œuvre dans l'ensemble de la province a l'aide de contrats a l'industrie par l'entremise des Services Nouveau-Brunswick, au cours de la periode 2000-2001.
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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 | 0.000 | 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) | 0.001 | 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 it