Clinical, hemato-biochemical alterations, diagnosis and management of canine ehrlichiosis.
Bibliographic record
Abstract
In the present study, clinical findings, haematological and biochemical alterations, diagnosis and management of positive cases of canine ehrlichiosis was undertaken. A total of 40 dogs affected with canine ehrlichiosis were diagnosed based on nPCR with characteristic clinical features of pyrexia, presence or history of ticks, anorexia, depression and lethargy, congested and pale conjuctival mucous membranes, vomiting, diarrhoea, melena, respiratory distress, weight loss, lymphadenopathy, petechial haemorrhages, epistaxis, ocular discharge, lameness, hind limb edema, blindness, haematuria and heart involvement. Buffy coat smear showed morula in 14 dogs out of 40 confirmed cases. Haematological alteration indicated microcytic hypochromic anemia, thrombocytopenia, hypoalbuminemia and hyperglobulinemia. Animals were treated with Doxycycline @10mg/kg/daily orally for 21 days and showed rapid improvement and recovery.
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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 | 0.000 | 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 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".