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
Evolution and Genetic Dynamics
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.

2,079 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.
2,079 works in the cohort · of 4,299,418page 22 of 42

Labels cover 4 of 2,079 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 2,079 of 2,079 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.

affno abstractunlabeled
Limits to Our Knowledge of Evolution
Michael Ruse
2000· book-chapter· en· Evolutionary Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
The Origin of Asexual Brine Shrimps
Nicolas O. Rode, Roula Jabbour‐Zahab, Loreleï Boyer, Élodie Flaven, Francisco Hontoria, Gilbert Van Stappen +3 more
2022· article· en· The American Naturalist· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
A conservation law for virus infection kinetics in vitro
Yusuke Kakizoe, Satoru Morita, Shinji Nakaoka, Yasuhiro Takeuchi, Kei Sato, Tomoyuki Miura +2 more
2015· article· en· Journal of Theoretical Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
afffundno abstractunlabeled
A neutral model of edge effects
Petro Babak, Fangliang He
2008· article· en· Theoretical Population Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
Relaxed selection during a recent human expansion
Stephan Peischl, Isabelle Dupanloup, Adrien Foucal, Michèle Jomphe, Vanessa Bruat, Jean‐Christophe Grenier +9 more
2016· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Emerging Frontiers in the Study of Molecular Evolution
David A. Liberles, Belinda S. W. Chang, Kerry Geiler‐Samerotte, Aaron D. Goldman, Jody Hey, Betül Kaçar +4 more
2020· editorial· en· Journal of Molecular Evolution· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Natural Selection in a Bottle
Houle, Rowe
2003· article· en· The American Naturalist· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Competition-driven evolution of organismal complexity
Yaroslav Ispolatov, Evgeniia Alekseeva, Michael Doebeli
2019· article· en· PLoS Computational Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Background selection under evolving recombination rates
Tom R. Booker, Bret A. Payseur, Anna Tigano
2022· article· en· Proceedings of the Royal Society B Biological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About