A comparison between intraperitoneal injection and intranasal and oral inoculation of mink with Aleutian mink disease virus
Bibliographic record
Abstract
Intranasal, with (INS) and without (IN) sedation, and oral inoculation were compared with intraperitoneal (IP) injection for establishing infection with a local isolate of Aleutian mink disease virus (AMDV) in 35 American mink. Blood samples were collected on 0, 21, 36 and 56 day post-inoculation (dpi). Antiviral-antibodies and viral DNA in plasma and tissues were measured by counter-immunoelectrophoresis (CIEP) and PCR, respectively. The presence of AMDV DNA was tested by PCR in saliva, rectal and fecal samples collected on 0, 6, 10, 15, 21, 28, 36 and 56 dpi. Animals were killed at 56 dpi, samples of six organs were tested for antibody and AMDV DNA, and samples of the lungs, liver, kidneys and heart were subjected to histology. Viral DNA was detected in the spleen, lungs and lymph nodes of all inoculated mink on 56 dpi, indicating that all inoculation routes caused infection in mink. Viral DNA and antibodies were detected in plasma of all IP and INS inoculated mink by 36 dpi, but some animals which were inoculated orally or via IN remained seronegative by 56 dpi. It was concluded that INS route was the most effective method for establishing infection in mink without breaking the integrity of the animals' anatomical barriers. Viremia was short-lived in some mink, whereas antibody production persisted in seroconverted animals during the duration of the experiment. Saliva, rectal and fecal samples did not accurately detect infection. Histologic lesions of AD were observed on the four organs of most mink.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".