Proprietes rheologiques de suspensions aqueuses de cellulose nanocristalline modifiee ou non
Bibliographic record
Abstract
A Lucie et Alice… A Grand-père, What would you think if I sang out of tune, Would you stand up and walk out on me?Lend me your ears and I'll sing you a song And I'll try not to sing out of key Oh, I get by with a little help from my friends With a little help from my friends... ("With a little help from my friends", The BEATLES, 1967) REMERCIEMENTS Je voudrais d'abord remercier mes parents pour leur soutien moral durant ces quatre dernières années, et ce, malgré les 6000 kms de distance qui nous séparaient.Des remerciements à tous mes amis dont plus particulièrement : a Bruno pour son soutien moral, sa présence amicale et son envie constante de savoir élever les autres pour tirer le meilleur d'eux-mêmes; a Giovanni-Antonio Natale qui a été le meilleur « frère » de rhéologie que je pouvais rencontrer pour son soutien, ses critiques et conseils; a Marion qui a été le vecteur de tant de belles rencontres et de belles choses dans ma vie à Montréal.Une pensée pour Maude pour les moments magique de musique chant/guitare que nous avons partagé!Merci à Claire pour les longs messages de soutien et d'écoute réciproque d'Italie!Et je n'oublie pas : Nathanaëlle,
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".