Analysis of lower urinary tract disease of dogs
Bibliographic record
Abstract
ABSTRACT: Lower urinary tract diseases (LUTD) include different conditions that affect the urinary bladder, urethra and prostate. The objective of this study was to determine the frequency of different related diseases, to characterize the population affected, and to determine risk factors in dogs. The clinical cases were diagnosed with LUTD through physical examination, and clinical laboratory and imaging studies. Male dogs had a greater predisposition to present a LUTD. Dogs from 3 months to 18 years with a median of 8 years were affected, and the most affected breeds were Poodle, Labrador, German shepherd, Schnauzer, Cocker Spaniel and Chihuahua. The LUTD presented with the following frequencies: bacterial urinary tract infection 34.02%; micturition disorders 22.68%; urolithiasis 20.61%; prostatic disease 14.43%; traumatic problems 8.24%. Sixty-seven per cent of the cases were specific diseases, such as uncomplicated and complicated bacterial urinary tract infections, urinary retention of neurologic origin and silica urolithiasis.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".