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Record W4296023671 · doi:10.1093/humrep/deac189

Standards in semen examination: publishing reproducible and reliable data based on high-quality methodology

2022· article· en· W4296023671 on OpenAlexaff
Lars Björndahl, Christopher L. R. Barratt, David Mortimer, Ashok Agarwal, R. John Aitken, Juan G. Álvarez, Natalie Aneck-Hahn, Stefan Arver, Elisabetta Baldi, Lluís Bassas, Florence Boitrelle, Riana Bornman, Douglas T. Carrell, José Antonio Castilla, Gerardo Cerezo Parra, J.H. Check, Patricia S. Cuasnicú, Sally D. Perreault, C. de Jager, Christopher J. De Jonge, Joël R. Drevet, Erma Z. Drobnis, Stefan S. du Plessis, Michael L. Eisenberg, Sandro C. Esteves, Evangelini Evgeni, Alberto Ferlin, Nicolás Garrido, Aleksander Giwercman, I Goovaerts, Trine B. Haugen, Ralf Henkel, Lars Henningsohn, Marie‐Claude Hofmann, James M. Hotaling, Piotr Jędrzejczak, Pierre Jouannet, Niels Jørgensen, Jackson Kirkman‐Brown, Csilla Krausz, Maciej Kurpisz, Ulrik Kvist, Dolores J. Lamb, Hagai Levine, Kate L. Loveland, Robert I. McLachlan, Ali Mahran, Liana Maree, Sarah Martins da Silva, Michael T. Mbizvo, Andreas Meinhardt, Roelof Menkveld, Sharon T. Mortimer, Sergey I. Moskovtsev, Charles Müller, María José Munuce, Monica Muratori, Craig Niederberger, Cristián O’Flaherty, Rafael Oliva, Willem Ombelet, Allan Pacey, Michael A. Palladino, Ranjith Ramasamy, Liliana Ramos, Nathalie Rives, Eduardo R. S. Roldán, Susan Rothmann, Denny Sakkas, Andrea Salonia, María Cristina Sánchez-Pozo, Rossana Sapiro, Stefan Schlatt, Peter N. Schlegel, Hans-Christian Schuppe, Rupin Shah, Niels E. Skakkebæk, Katja J. Teerds, Igor Toskin, Herman Tournaye, Paul J. Turek, Gerhard van der Horst, Mónica H. Vazquez‐Levin, Christina Wang, A.M.M. Wetzels, Theodosia Zeginiadou, Armand Zini

Bibliographic record

VenueHuman Reproduction · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsSt Mary's Hospital CentreUniversity of TorontoMcGill UniversityCReATe Fertility CentreUniversity of British ColumbiaAchieve Life Sciences (Canada)
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentWorld Health Organization
KeywordsChecklistTransparency (behavior)PublishingSemenComputer scienceLibrary scienceMedicineMedical physicsMedical educationPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Biomedical science is rapidly developing in terms of more transparency, openness and reproducibility of scientific publications. This is even more important for all studies that are based on results from basic semen examination. Recently two concordant documents have been published: the 6th edition of the WHO Laboratory Manual for the Examination and Processing of Human Semen, and the International Standard ISO 23162:2021. With these tools, we propose that authors should be instructed to follow these laboratory methods in order to publish studies in peer-reviewed journals, preferable by using a checklist as suggested in an Appendix to this article.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.034
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.260
GPT teacher head0.421
Teacher spread0.162 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations69
Published2022
Admission routes1
Has abstractyes

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