Bibliographic record
Abstract
Dr Mark A Wainberg is Professor of Medicine and Microbiology and Immunology at McGill University (Montreal, Canada) and Director of the McGill University AIDS Centre. He served as President of the International AIDS Society between 1998 and 2000 with responsibilities that included organization of the XIII International Congress on AIDS (Durban, South Africa) in 2000. He was also co-Chair of the XVI International AIDS Conference that took place in Toronto, Canada, in August 2006. He is well known for his initial identification of 3TC as an antiviral drug, in collaboration with BioChem Pharma Inc, in 1989, as well as for multiple contributions to the field of HIV drug resistance. Dr Wainberg now works on efforts to achieve a cure for HIV infection. Among other honors, Dr Wainberg is an Officer of the Order of Canada and a Chevalier in the Legion d'Honneur of France, as well as the recipient of a number of honorary doctorates. Dr Wainberg is an author of over 500 research papers and 100 reviews and commentary articles that have appeared in scientific literature. He is co-Editor-in-Chief of Retrovirology, co-Editor-in-Chief of Journal of the International AIDS Society, and is a member of the editorial committees of multiple other journals. More than 30 students have obtained their PhD degrees under his tutelage.
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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.012 | 0.025 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".