Bibliographic record
Abstract
T he Northern Alberta HIV Program is delivered by an interdisciplinary team that cares for HIV-infected adults and children living in the northern half of the province.The program serves a diverse population, many of whom represent marginalized groups, for whom there are significant challenges in providing patient care.In particular, addictions, mental illness, language barriers, cultural barriers, and homelessness are common within this patient population.The team consists of pharmacists, nurses, social workers, adult and pediatric infectious disease specialists, psychologists, and a dietician.This HIV program was established nearly 20 years ago and was based at the time at the University of Alberta Hospital in Edmonton.The original team consisted of infectious disease specialists, a social worker, and a nurse practitioner.As the complexity of antiretroviral drug therapy increased, Dr Stan Houston, director of the Northern Alberta HIV Program, advocated to Capital Health's Regional Pharmacy Services (now part of Alberta Health Services) for a pharmacist to join the team.This effort was successful, and in 1998 Christine Hughes became the program's first pharmacist.The pharmacist position was established as a cross-appointment between the University of Alberta's Faculty of Pharmacy and Pharmaceutical Sciences and Regional Pharmacy Services.HIV-infected patients are typically referred to the Northern Alberta HIV Program by their primary care
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.227 | 0.029 |
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".