Occurrence of canine mammary and skin/ subcutaneous neoplasms in and around Thrissur district of Kerala during 2017-2020: A review of 265 cases
Bibliographic record
Abstract
The study was conducted in 265 clinical cases of mammary and skin/ subcutaneous neoplasms in dogs presented to University Veterinary Hospitals Mannuthy and Kokkalai during a period of 36 months from October 2017 to September 2020. Mammary neoplasms were found more in females (51.7 per cent) than in males whereas skin and subcutaneous neoplasms were found more in male dogs (48.3 per cent). The maximum occurrence of neoplasms was recorded in the age group of eight to twelve years (38.5 per cent) whereas least occurrence was noticed in the age group up to four years (9 per cent). Labrador and Rottweiler breeds were found more affected with neoplasms (38 per cent each) with highest occurrence of mammary neoplasms in inguinal mammary glands (35.03 per cent) and highest occurrence of skin/ subcutaneous neoplasms on sites involving trunk region (14.06 per cent cases). Eighty-three per cent of the neoplasm cases in the present study were pet dogs with a greater number of dogs maintained in outdoor kennels and 17 per cent of neoplasm was found in free-roaming dogs rescued from streets. Out of total 265 dogs, 37.73 per cent dogs were found to be having commercial dog food as their main feed and 32 per cent dogs were fed with a mixed diet of homemade food and commercial dog food. Among the cases, 14.71 per cent dogs had a previous history of cancer surgery
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".