Bibliographic record
Abstract
Memoire presente a la Faculte des etudes superieures de l'Universite Laval dans le cadre du programme de maitrise en Microbiologie-Immunologie pour l'obtention du grade de Maitre es sciences (M. Sc.)dans le departement de biologie medicale de la faculte de medecine de l'universite Laval, Quebec, Canada, 2009.Le but de cette etude est d'analyser les relations mutuelles de la co-infection VIH 1/Trypanosoma cruzi dans un modele de cellules de type microglial derivees de monocytes humains. Un modele de co-infection de MDMi par le T. cruzi et le VIH-1 a ete etabli. Le T. cruzi peut etre inhibe par la co-infection T.cruzi/VIH-1 dans les MDMi : nos resultats indiquent que l'infection par le VIH-1 conduit a une reduction de l'entree et de la multiplication du T. cruzi dans les MDMi. De son cote, l'infection par le T. cruzi, aussi bien que ses facteurs solubles, semble exercer une forte inhibition de l'entree, l'expression et la replication du VIH-1 dans ces cellules. Ces resultats sont en accord avec les rares etudes effectuees sur le sujet. De plus, nos resultats montrent qu'une co-entree dans la meme cellule n'est pas necessaire a l'inhibition mutuelle exercee par ces deux pathogenes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".