Manuscrit auteur, publié dans "ESIM 2006, Toronto: Canada (2006)" SIMULATIONS DE DISPOSITIFS DU TYPE MUR TROMBE AVEC CODYRUN
Bibliographic record
Abstract
Les dispositifs Mur Trombe ont fait l’objet de nombreuses études en climat tempéré et ont prouvé leur efficacité en tant que système de chauffage passif. Vis à vis du détail de la modélisation associée, un couplage fin (car faisant intervenir plusieurs modes de transfert) entre la pièce et le dispositif est nécessaire. Avec CODYRUN développé à l’Université de La Réunion, des résultats de simulation sont présentés au départ d’un fichier météorologique et d’un habitat type de Madagascar. Ces murs capteurs stockeurs s’avèrent pouvoir améliorer notablement les conditions de confort En utilisant des sorties spécifiques (débits enthalpiques, apports par conduction, indices de confort,...), une analyse de l’efficacité du dispositif est menée et démontre les avantages de ce mode de chauffage passif et peu onéreux.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.003 |
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".