Bibliographic record
Abstract
Treatment of Interstitial Cystitis: Anything Works?This presentation will review the new AUA guidelines for the diagnosis and management of interstitial cystitis/bladder pain syndrome.The guidelines will be a stepping off point to take an in-depth look at numerous treatments and the evidence supporting them.The need for rigorous placebo-controlled trials becomes apparent in a syndrome where everything seems to work when first introduced.PhilipHanno, University of Pennsylvania 8:30 -8:45 a.m.Resident Debate Topic: Initial Treatment of Overactive Bladder 8:45 -9:30 a.m.Plenary II Medical Management of Stone Disease: Evidence Based DecisionsMedical management of stone disease with diet and medication has been shown to reduce the rate of recurrent stone formation.Reduced salt, limited animal protein and high fluid intake are dietary measures supported by level 1 evidence.Drug therapy, including thiazide diuretics, potassium citrate and allopurinol are used for specific metabolic abnormalities or in some cases empirically.A simplified approach to medical evaluation and management is offered.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.394 | 0.372 |
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".