MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Sperm and Testicular Function
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,898 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,898 works in the cohort · of 4,299,418page 3 of 38

Labels cover 1 of 1,898 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,898 of 1,898 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Sperm swim-up techniques and DNA fragmentation
E.V. YoungLai, David Holt, Paula R. Brown, Andrea Jurisicova, Robert F. Casper
2001· article· en· Human Reproduction· Medicine
machine prediction:candidate · noneconsensus · none
162
citations
afffundno abstractunlabeled
Region-specific gene expression in the epididymis
Clémence Belleannée, Véronique Thimon, Robert Sullivan
2012· review· en· Cell and Tissue Research· Medicine
machine prediction:candidate · noneconsensus · none
153
citations
afffundno abstractunlabeled
Deep learning for the classification of human sperm
Jason Riordon, Christopher McCallum, David Sinton
2019· article· en· Computers in Biology and Medicine· Medicine
machine prediction:candidate · noneconsensus · none
150
citations
affunlabeled
A Practical Guide to Basic Laboratory Andrology
Lars Björndahl, David Mortimer, Christopher L. R. Barratt, José Antonio Castilla, Roelof Menkveld, Ulrik Kvist +2 more
2010· book· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
143
citations
afffundunlabeled
Toxicants and human sperm chromatin integrity
Géraldine Delbès, Barbara F. Hales, Bernard Robaire
2009· review· en· Molecular Human Reproduction· Medicine
machine prediction:candidate · noneconsensus · none
140
citations
afffundunlabeled
Human sperm rheotaxis: a passive physical process
Zhuoran Zhang, Jun Liu, Jim Meriano, Changhai Ru, Shaorong Xie, Jun Luo +1 more
2016· article· en· Scientific Reports· Medicine
machine prediction:candidate · noneconsensus · none
135
citations
afffundunlabeled
Revisiting structure/functions of the human epididymis
Robert Sullivan, Christine Légaré, Jérôme Lamontagne‐Proulx, Sylvie Breton, Denis Soulet
2019· review· en· Andrology· Medicine
machine prediction:candidate · noneconsensus · none
127
citations

How this was built: Screen · Findings · About