REDUCTION DE L'IMPACT SUR L'EFFET DE SERRE PAR L'ECO-CONCEPTION DES CAVES: CONTEXTE ET APPLICATION
Bibliographic record
Abstract
La construction d'un bâtiment viticole ou d'une cave et le choix des equipements associes a la conception des equipements de l'ouvrage suppose une reflexion approfondie concernant notamment les aspects economiques, qualitatifs, la securite des utilisateurs. Au-dela de I'aspect fonctionnel, la prise en compte du developpement durable impose une reflexion relative a l'impact de la conception et du fonctionnement des caves sur l'effet de serre. Autrefois tous les moyens naturels qui permettaient de beneficier de la fraicheur ou de la chaleur etaient utilises La conception des bâtiments, associant une bonne isolation eventuellement completee de solutions originales (toits ou murs vegetalises, puits canadiens...) et les energies alternatives (solaire, geothermie, biomasse...) s'integre dans cette dynamique de conception ecologique des caves. Ces aspects, ainsi que l'integration paysagere contribue a valoriser l'image environnementale de la cave. Des demarches originales pionnieres, peuvent s'integrer, au-dela des choix architecturaux, dans une demarche de communication et de valorisation des vins. Par ailleurs, la reglementation, les normes evoluent au cours des prochaines annees, ce qui justifie d'anticiper les exigences environnementales, afin d'eviter des modifications de mise aux normes couteuses.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".