Opportunités solaires passives : optimisation du confort et de la consommation énergétique d'un espace séjour avec serre accolée
Bibliographic record
Abstract
Cette recherche propose d’analyser les opportunités solaires passives d’une serre accolée à un espace séjour en vue d’optimiser le confort et la consommation énergétique. La simulation numérique des différentes configurations à l’aide de l’outil PLEIADES+COMFIE 2.0 permet de traiter les différents phénomènes physiques présents dans un tel espace. Les résultats obtenus sont présentés sous forme de tableaux et d’histogrammes qui permettent de comparer l’incidence des différentes variables étudiées sur la température de la serre et la consommation énergétique du séjour. Ces solutions répondent aux conditions climatiques de la ville de Québec et visent une application résidentielle.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.006 | 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".