Bibliographic record
Abstract
Prostatic diseases are relatively common in middle-aged to older, intact male dogs and rare in neutered males, with a higher reported frequency in medium- and large-breed dogs. This chapter discusses the most common prostatic diseases, namely benign prostatic hyperplasia (BPH), bacterial acute and chronic prostatitis, prostatic abscesses, prostatic and paraprostatic cysts, and prostatic neoplasia. It also discusses the etiology, history and clinical signs, diagnosis, therapy, and prognosis of the disorders. In breeding dogs, medical therapy for BPH can be used to reduce prostatic size and clinical signs of prostatomegaly. Estrogen therapy can also be used to treat BPH and will cause a decrease in testosterone production. The most common bacterial organism to cause prostatitis is Escherichia coli. Other common infectious etiologies include Staphylococcus spp., Streptococcus spp., Mycoplasma spp., Pseudomonas spp., and Proteus spp.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.002 |
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; both teacher heads agree on what is shown here.
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".