Detection of coronavirus in cases of tracheobronchitis in dogs: a retrospective study from 1971 to 2003.
Bibliographic record
Abstract
Canine infectious tracheobronchitis (CITB) is a multifactorial disease that commonly occurs when dogs are brought together for boarding, shows, or field trials (1). Generally, the disease is an irritating, but selflimiting, condition; however, it can progress to bronchopneumonia in some cases, especially in individuals that may be immunosuppressed for a variety of reasons (1). Aside from the recognized environmental and physiological, stress-related, cofactors, several infectious agents, including Canine adenovirus type 2 (CAV-2) (2), Canine parainfluenzavirus (3), and Bordetella bronchiseptica (4), have historically been implicated in a causal role. Other less-frequently recognized agents that have been causally associated with CITB include Canine herpesvirus (5) and Mycoplasma spp. (6). Most recently, a group 2 Canine coronavirus was implicated as an important and prevalent infectious cofactor in many cases of respiratory disease in dogs in humane shelters in the United Kingdom (7). This virus is closely related genetically and antigenically to Bovine coronavirus and Human (respiratory) coronavirus strain OC43 and is distinct from enteric Canine coronavirus (7). The prevalence of respiratory Canine coronavirus in other parts of the world is currently unknown. The objective of this study was to determine if Canine coronavirus could be implicated as an etiologic agent in cases of canine respiratory disease. A retrospective immunohistochemical study of archival case material was used as an initial approach to addressing this issue.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".