HIV pharmacy specialty residency program in Canada
Bibliographic record
Abstract
Journal Article HIV pharmacy specialty residency program in Canada Get access Alice Tseng, Pharm.D., Alice Tseng, Pharm.D. HIV Pharmacotherapy Specialist and Assistant Professor, Faculty of Pharmacy Toronto General Hospital (TGH), University of Toronto (UT), Toronto, Ontario, Canada Address correspondence to Dr. Tseng at the Immunodeficiency Clinic, CW-G315, Toronto General Hospital, 101 College Street, Toronto, Ontario, Canada M5G 2C4 (alice.tseng@uhn.on.ca). Search for other works by this author on: Oxford Academic Google Scholar Michelle Foisy, Pharm.D., Michelle Foisy, Pharm.D. HIV Primary Care Pharmacist St. Michael's Hospital (SMH), Toronto, and Assistant Professor, Faculty of Pharmacy, UT Search for other works by this author on: Oxford Academic Google Scholar Jana Bajcar, M.Sc.PHM., Jana Bajcar, M.Sc.PHM. Director, Doctor of Pharmacy Program, UT University Health Network, Toronto Search for other works by this author on: Oxford Academic Google Scholar Emily Musing, Emily Musing Director of Pharmacy Services University Health Network, Toronto Search for other works by this author on: Oxford Academic Google Scholar Janice Wells, Pharm.D., Janice Wells, Pharm.D. Manager Department of Pharmacy Search for other works by this author on: Oxford Academic Google Scholar Mary Grondin, Mary Grondin Clinic Coordinator, SMH Immunodeficiency Clinic, TGH, UT Search for other works by this author on: Oxford Academic Google Scholar Irving Salit, M.D., FRCP(C) Irving Salit, M.D., FRCP(C) Director and Associate Professor of Medicine Immunodeficiency Clinic, TGH, UT Search for other works by this author on: Oxford Academic Google Scholar American Journal of Health-System Pharmacy, Volume 58, Issue 7, 1 April 2001, Pages 591–594, https://doi.org/10.1093/ajhp/58.7.591 Published: 01 April 2001
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".