Bibliographic record
Abstract
Rima Rozen, PhD, FCCMG, received her PhD from McGill University (Montreal, Canada) and pursued postdoctoral training at McGill University and Yale University (CT, USA). She became an Assistant Professor in the Human Genetics and Pediatrics Departments at McGill in 1984, and set up her research program on genetics and metabolic disease. In 1985, Dr Rozen established the Molecular Genetics Diagnosis Service at the McGill-Montreal Children's Hospital, the first accredited molecular diagnosis service in Quebec, and continued to direct this service until 2002. In 1990, she became a Fellow of the Canadian College of Medical Geneticists, certified in Molecular Genetics. From 1999-2007, Dr Rozen served as Scientific Director of the Montreal Children's Hospital and Deputy Scientific Director of the McGill University Health Centre. Currently, Dr Rozen is a James McGill Professor of Human Genetics and Pediatrics and Associate Vice-Principal (Research and International Relations) at McGill University. She is also the Director of the McGill Canadian Institutes of Health Research (CIHR) Group in Medical Genetics, the longest running group in the history of CIHR. Dr Rozen has published over 180 papers and has received several awards for her research including the Prix d'Excellence for pediatric research from the Inter-Service Clubs Council of Quebec, the Prix Léo-Pariseau from the Association canadienne-francaise pour l'avancement des sciences, and the CIHR Senior Scientist Award. Her current research focuses on genetic and nutritional deficiencies in folate metabolism and their impact on complex traits.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.163 | 0.050 |
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".