Bibliographic record
Abstract
Due to significant therapeutic advances, HIV infection has become a chronic manageable disease for treatment-adherent patients with an undetectable viral load, and comorbid conditions including hepatitis, cardiovascular and metabolic complications, and end-organ dysfunction have become increasingly common in aging patients with HIV infection.1,2 Practitioners need to consider effectiveness, toxicity, drug interactions, adherence, and cost when initiating or modifying antiretroviral agent regimens and to assess the potential impact of such changes on other disease states and pharmacotherapy. We developed a comprehensive handbook and accompanying website on HIV drug therapy in order to (1) create a centralized repository for current HIV drug information for health care professionals with a focus on drug interactions and (2) promote the safe and rational prescribing of antiretroviral agents. The first version of the handbook was developed in 1992 to increase awareness of drug costs and to promote responsible prescribing. It began as a pocket-sized, 14-page, inhouse publication for medical and pharmacy staff and residents and has evolved to become a comprehensive reference on HIV treatments and pharmacology, including drug interactions. The ninth edition, comprising 550 pages and 1544 references, was published in 2010. It includes in-depth information on all licensed antiretroviral agents as well as 19 tables of drug interactions (including antiretroviral agents and other drug classes), six appendices, reimbursement criteria, and manufacturer contact information.
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.125 | 0.087 |
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".