Bibliographic record
Abstract
Patrick obtained his undergraduate degree at McGill University, and received his graduate training in Medicine and Biochemistry at the University of North Dakota. His postdoctoral work was conducted at the University of British Columbia. He joined the Faculty of Medicine, University of Manitoba as an Assistant Professor of Biochemistry in 1979. He was the recipient of a New Investigator Award (1979-85) from the Heart and Stroke Foundation of Canada, followed by a Scientist Award (1985-90) from the MRC/CIHR. These career awards allowed him to devote the majority of his time to research. He was promoted to Associate Professor in 1983 and Full Professor in 1986. He was cross-appointed as Professor of Pathology and participated in the teaching of General Pathology to residents. He was the founding Director of the Centre for Re-search and Treatment of Atherosclerosis at the University of Manitoba and the Winni-peg Health Sciences Centre. Administratively, he was appointed as the Professor and Head of Biochemistry and Medical Genetics (1992-1999), and an Associate Dean in the Faculty of Medicine in 1999 until his retirement in 2010.Professionally, Patrick served as President of the Canadian Biochemical Society, Chair of the Medical Research Council/Canadian Institute of Health Research New Investigator Awards Committee, Chair of the Alberta Heritage Foundation Senior Investigator Awards Committee, Vice-President of the Heart and Stroke Foundation of Manitoba, and Secretary/Treasurer of the Canadian Society for Clinical Investigation. He continues to serve on Editorial Boards of scientific journals, including the Journal of Clinical and Investigative Medicine. He was invested into the Order of Manitoba in 2011.
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 | 0.018 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.023 |
| Insufficient payload (model declined to judge) | 0.009 | 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".