Développement et validation expérimentale de facteurs de réponse thermique pour champs de puits géothermiques
Bibliographic record
Abstract
REMERCIEMENTSCe projet de thèse fut une tâche colossale qui aurait certainement été impossible à accomplir sans l'aide et le support des personnes que j'ai côtoyées durant mes années au doctorat.Pour débuter, je me dois d'exprimer ma reconnaissance envers mon directeur de recherche, le professeur Michel Bernier.Grâce à lui, mon projet de thèse a été stimulant, enrichissant et rempli de défis.Ses précieux conseils me suivront tout au long de ma carrière.J'ai beaucoup apprécié la compagnie des étudiants du groupe Bâtiment et Efficacité Énergétique du département de génie mécanique et le plaisir que j'ai eu lors de nos discussions, sérieuses ou moins sérieuses: mes collègues au doctorat, Ali, Amin, Benoît, Katherine et Parham; les étudiants du C-315, Arny, Bruno, Nicolas, Patricia, Yannick et Vivien; et tous les autres.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".