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
Protein Structure and 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.

2,009 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.
2,009 works in the cohort · of 4,299,418page 21 of 41

Labels cover 3 of 2,009 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 2,009 of 2,009 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.

afffundunlabeled
Integrating dynamics into enzyme engineering
Claudèle Lemay-St-Denis, Nicolas Doucet, Joelle N. Pelletier
2022· article· en· Protein Engineering Design and Selection· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
afffundno abstractunlabeled
Conserved hydrogen-bond motifs of membrane transporters and receptors
Michalis Lazaratos, Malte Siemers, Leonid S. Brown, Ana‐Nicoleta Bondar
2022· article· en· Biochimica et Biophysica Acta (BBA) - Biomembranes· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
Reconsidering the dynamical states of galaxy clusters using PCA and UMAP
Roan Haggar, Federico De Luca, M. De Petris, Elizaveta Sazonova, James E. Taylor, Alexander Knebe +7 more
2024· article· en· Monthly Notices of the Royal Astronomical Society· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Proteodynamics and aging of eukaryotic cells
Jacek M. Witkowski, Ewa Bryl, Tamàs Fülöp
2021· article· en· Mechanisms of Ageing and Development· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
fundno affunlabeled
Toward Modular Analysis of Supramolecular Protein Assemblies
Jaehoon Kim, Jin‐Gyun Kim, Giseok Yun, Phill‐Seung Lee, Do‐Nyun Kim
2015· article· en· Journal of Chemical Theory and Computation· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
Protein Design Using Physics Informed Neural Networks
Sara Ibrahim Omar, Chen Keasar, Ariel J. Ben‐Sasson, Eldad Haber
2023· article· en· Biomolecules· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations

How this was built: Screen · Findings · About