Flexible cystoscope retrieval of detached resectoscope sheath beak
Bibliographic record
Abstract
Surveillance cystoscopy for bladder cancer following transurethral resection of the prostate (TURP) can have unexpected consequences, such as the detachment of the resectoscope beak. This is an infrequent event, with few published or standard techniques for its retrieval. These techniques range from the use of forceps, as Grainger et al described in the first published case report on resectoscope sheath extraction, to the use a holmium YAG laser with a 200 μm fiber to fragment the 26 French (Fr) resectoscope sheath in the patient’s bladder and other laser-based techniques. We hypothesize that resectoscope beak extraction can be achieved efficiently and safely using a flexible cystoscope in the absence of a laser apparatus and with better postoperative results than rigid resectoscope or forceps for extraction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".