Bibliographic record
Abstract
Saquinavir is a peptidomimetic inhibitor of HIV protease. Initially marketed as Invirasetrade mark, the effectiveness of saquinavir was greatly hindered by its nearly complete first pass metabolism by cytochrome P450 3A4. A new formulation, Fortovasetrade mark, appears to yield some six times the drug exposure and has been demonstrated to yield virological and immunological results similar to those of other protease inhibitors (PIs) when used in conjunction with two nucleoside reverse transcriptase inhibitors (nRTIs). Emerging data suggest it is safe to use twice daily. Co-administration of either formulation of saquinavir with nelfinavir and especially ritonavir yields greatly increased blood levels, with corresponding superior magnitude and durability of viral suppression in first line therapy, albeit with increased adverse effects. The combination of ritonavir and saquinavir has also yielded the most promising results published for second line therapy, after virological breakthrough on previous PI-containing therapy. In addition, preliminary data suggests the possibility of once daily dosing of ritonavir and saquinavir, which would be expected to increase compliance and allow for direct observed therapy.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".