Bibliographic record
Abstract
The National Institutes of Health Classification System for prostatitis has now been accepted by the North American and International urology community. This categorization system consists of category I (acute bacterial prostatitis), category II (chronic bacterial prostatitis), category III (chronic prostatitis/chronic pelvic pain syndrome - CP/CPPS) and category IV asymptomatic inflammatory prostatitis. The evaluation of a patient with category I and category II bacterial prostatitis consists of history and physical examination and urine culture for lower urinary tract localization cultures, respectively. The clinical tests for the evaluation of CP/CPPS can be classified as mandatory, recommended and optional. Mandatory evaluations include history and physical examination, urinalysis and urine culture. Recommended evaluations include lower urinary tract localization tests, symptom index, flow rate, residual urine determination and urine cytology. Optional evaluations include semen analysis and culture, urethral swab, urodynamics, cystoscopy, imaging, and prostate specific antigen determination. The physician must individualize a rational diagnostic strategy for each patient. There is no 'gold standard' for the diagnosis and evaluation of patients presenting with prostatitis.
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 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 | 0.032 | 0.049 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.008 | 0.003 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".