Bibliographic record
Abstract
The epidemics of HIV and hepatitis C in treated haemophiliacs spurred rapid technological advances in the viral safety of clotting factor concentrates produced from large donor pools. Sequential steps are now employed to minimize infectious risks. The initial viral burden is reduced by screening donors and by testing individual donations and plasma pools for antivirus antibodies, viral antigens, and nucleic acid. These techniques are supplemented by nonspecific viral reduction steps based on physical partitioning and inactivation of pathogens by physical (eg, heat) or chemical (eg, solvent-detergent) means. Although these processes have virtually eliminated the transmission of HIV and hepatitis B and C, there is still evidence that concentrates can transmit small nonenveloped viruses, such as parvovirus B19 and hepatitis A virus. Furthermore, new agents which may not be susceptible to current viral inactivation procedures continue to be identified. Concerns such as these have also given impetus to the development of recombinant clotting factor proteins. Recombinant factor IX concentrate is now produced without the use of human plasma proteins at any step in the manufacturing or formulation process. In practice, the risk of viral transmission by clotting factor concentrates is now so remote that any manipulations to further reduce this risk may be counter-productive, by enhancing cost (hence compromising availability) and potentially promoting other adverse effects such as immunogenicity.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".