Association and Risk of Canine distemper with Respect to Age, Sex and Breed of Dogs Suffering from Demyelinating Neuropathies
Bibliographic record
Abstract
A total of 3934 canine patients were screened clinically and dogs showing neurological signs were further examined for presence of Myelin basic protein and CD specific immunoglobulin (IgG and IgM) both in plasma and cerebrospinal fluid. The overall incidence of DMN in dogs was 3.53%, that of CD was 2.39% and DMN due to other causes was 1.14%. Age wise incidence of DMN was higher in age group >9 years (32.37%). Among the CD origin DMN cases incidence was higher in age group of 0-1 years (32.98%) and lowest in 1-3 years (9.57%). Sex wise incidence of CD was higher in male (53.33%) than female (46.67%). Further analysis of risk factor for CD in dog suffering from DMN and its association with age, sex and breed revealed that the dogs aged between 0 -1 years was 4.051, 1.384, 1.292 and 1.292 times more at risk when compared with dogs aged > 9 years (0.247), 3-6 years (0.723), 6-9 years (0.774) and 1-3 years (0.774) of age groups respectively. Breed wise Mongrel was 3.00, 2.250, 1.875, 1.263, 1.105 and 1.500 times higher at risk when compared with Dalmatian, Doberman, German shepherd, Labrador, Pomeranian and Spitz breed respectively. Dogs were 2.288 times more prone to CD than bitches.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".