A 2-D random walk model for predicting ice accretion on a cylindrical conductor =
Bibliographic record
Abstract
Ce mémoire de maîtrise présente un modèle en 2-D qui permet de prédire le profile et le poids de l'accumulation de glace sur un conducteur cylindrique, par la méthode du «cheminant aléatoire», et non pas par l'approche continue classique qui est basée sur la résolution des équations de conservation. Dans cette approche, les gouttelettes sont considérées comme ayant un mouvement aléatoire le long du conducteur ou à la surface de la glace accumulée. Les paramètres du modèle utilisé («cheminant aléatoire»), incluant la probabilité du gel de l'eau, du délestage et du mouvement de celle-ci, sont exprimés en fonction des conditions météorologiques et environnementales. Quelques nouveaux paramètres, notamment les pertes Joule causées par le passage du courant électrique et la direction de la collusion des gouttes d'eau sur le cylindre, sont considérés pour la première fois dans cette approche.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".