Bibliographic record
Abstract
In addition to the bloodborne pathogens (BBPs) — human immunodeficiency virus (HIV) and hepatitis B and C viruses (HBV and HCV) — other viruses of concern in the dental office include rubella, mumps and measles viruses; the herpes viruses (herpes simplex virus [HSV] types 1 and 2, varicella-zoster, Epstein-Barr virus [EBV], cytomegalovirus and human herpes virus 6); human papilloma viruses; adenovirus; coxsackie viruses; and the upper respiratory tract pathogens (influenza A and B viruses, human parvovirus B19 and respiratory syncytial virus). Most of these are far more prevalent than the BBPs and many are of particular concern to nonimmune pregnant women1 and immunocompromised patients.2 Immunization of nonimmune health care workers is recommended to reduce the risk of infection with measles, mumps, rubella, polio, influenza, varicella-zoster and HBV. 3 The recently introduced varicella-zoster vaccine is strongly recommended for those health care workers who treat children and medically compromised patients. 4
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".