ESHRE special interest group for andrology basic semen analysis course: a continued focus on accuracy, quality, efficiency and clinical relevance
Bibliographic record
Abstract
ESHRE has been running courses for basic semen analysis since 1994 and course material has been updated regularly in response to new findings and publications. Following publication of the 5th edition of the WHO laboratory manual, entitled WHO Laboratory Manual for the Examination and Processing of Human Semen (WHO5), the Subcommittee for training of the ESHRE Special Interest Group for Andrology evaluated potential amendments to its course. In respect of the updated ESHRE course, there are eight particular areas of discourse that are reviewed (i) maintaining the four-class differential motility count allowing distinction between rapid and slow progressive sperm for assisted reproduction technology. (ii) Maintaining the four-category assessment for sperm morphology with calculation of the teratozoospermic index. (iii) Continuing to advocate the use of three categories of results: 'normal', 'borderline' and 'abnormal' with respect to the clinical interpretation of the data. (iv) Presenting clear and unequivocal methods for performing assessments e.g. morphology. (v) Correcting the inconsistencies in WHO5, some of which are actually erroneous. (vi) Reducing the requirements for substantial extra work for what are unestablished improvements in accuracy and/or precision in the final results. (vii) Presentation of logical methods of sperm preparation. (viii) Discussion of the suddenly changed limits between fertile and subfertile men.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.077 | 0.033 |
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".