Cohort Profile: The MUg Observational Cohort
Bibliographic record
Abstract
Mildmay Uganda (MUg), an HIV treatment centre near Kampala, the capital of Uganda, has entered into a memorandum of understanding to collaborate with Canadian researchers at the University of Ottawa to develop their research programme and develop an observational cohort database (the MUg observational cohort). The primary objectives of the MUg observational cohort are to monitor clinical care and outcomes of HIV among patients on treatment and to bring awareness to trends that are functional and dysfunctional in HIV care in Uganda. The MUg observational cohort comprises 8835 individuals who initiated combination antiretroviral therapy at MUg between January 2004 and October 2011. There are considerably more women (63.2%) than men in the cohort, and age spans from newborn to 92 years old. The low median age of 31 years (interquartile range: 18-38 years) can be explained by the 24.9% of the cohort aged <18 years. The median baseline CD4 cell count among the entire cohort is 172 cells/mm(3) (interquartile range: 73-249 cells/mm(3)). Data are routinely completed at treatment initiation, and follow-up data are collected routinely through physician visits and laboratory results. Data comprise demographic, behavioural and clinical variables. Collaborations and enquiries relating to the MUg observational cohort are encouraged, and can be addressed to Dr Edward Mills at edward.mills@uottowa.ca.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".