Simulation d'un puits à colonne permanente en milieu fracturé à l'aide de la méthode des ondelettes de Haar
Bibliographic record
Abstract
If you can't explain it simply, you don't understand it well enough."Albert Einstein iv REMERCIEMENTS Je tiens avant tout à remercier mon directeur de recherche, le professeur Philippe Pasquier, pour son dévouement et sa grande générosité.Par ses nombreux conseils et son écoute, Philippe a été un excellent mentor et m'a beaucoup aidé à devenir le chercheur que je suis.Je tiens également à le remercier pour la confiance qu'il m'a accordée en tant que chargé de cours.Je remercie mon co-directeur Denis Marcotte pour l'intérêt manifesté envers mon projet.Son expérience en recherche et ses nombreux conseils m'ont grandement aidé à réaliser ce projet.Mes remerciements vont également aux membres du jury, les professeurs Michel Bernier, Louis Lamarche et John Molson pour avoir accepté de lire et d'évaluer cette thèse.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 0.000 |
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".