FELINE VIRAL IMMUNODEFICIENCY VIRUS INFECTION: DISTRIBUTION, TREATMENT AND PREVENTION
Bibliographic record
Abstract
Feline immunodeficiency virus (FIV) is a ubiquitous pathogen of domestic cats. Feline isolates are divided into subtypes A (US-California and Europe), B (Europe, Japan, and the US except California), C (Canada), and D (Japan). To date, FIV infection has been found in 37 feline species living in the wild or in zoological collections. Transmission occurs mainly through bites during territorial fights and results in persistent infection throughout life. Although a progressive decline in CD4+ T-cell counts is a hallmark of FIV infection, clinical manifestations in naturally infected cats are often subtle. Many infected cats have treatable medical problems that are common in cats regardless of their retroviral status. In those cats that do develop immunodeficiency-related diseases, it is often difficult to determine the clinical significance of their FIV status. The initial diagnosis is based on the detection of circulating antibodies to the viral capsid protein p24. Although FIV vaccines are available in some countries, identification of infected cats remains important to prevent new infections. It is essential to know the retroviral status of each cat at risk of infection. Cats should be tested as soon as possible after acquisition, after contact with an infected cat or a cat of unknown infectious status, before vaccination against feline viral immunodeficiency virus infection, and when clinical disease occurs. Although infection may be accompanied by clinical manifestations of disease, some infected cats may live many years with a good quality of life.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".