Bibliographic record
Abstract
Vasectomy is a safe and effective method of birth control. Although it is a simple elective procedure, vasectomy is associated with potential minor and major complications. The early failure rate of vasectomy (presence of motile sperm in the ejaculate at 3‒6 months post-vasectomy) is in the range of 0.3‒9% and the late failure rate is in the range of 0.04–0.08%. The no-scalpel vasectomy technique is associated with a lower risk of early postoperative complications and the use of cautery or fascial interposition will reduce the risk of contraceptive failure. As such, detailed preoperative counselling and careful assessment of the post-vasectomy ejaculate (for presence of sperm) is imperative. Failure to provide and document adequate information and counselling to patients may lead to litigation. The focus of this guideline is the management of men presenting for vasectomy. Specifically, the topics covered include: preoperative counselling, vasectomy efficacy and complications, technical aspects of vasectomy, post-vasectomy semen testing, and interpretation-communication of post-vasectomy semen results. By performing an extensive literature review, we have generated an evidence-based consensus on the management of these men. The objective of this guideline is to help standardize the treatment of men presenting for vasectomy.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.014 |
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".