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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.

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

2,238 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,238 works in the cohort · of 4,299,418page 11 of 45

Labels cover 4 of 2,238 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 2,238 of 2,238 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Tissue specificity of in vitro drug sensitivity
Fupan Yao, Seyed Ali Madani Tonekaboni, Zhaleh Safikhani, Petr Smirnov, Nehmé El-Hachem, Mark Freeman +2 more
2017· review· en· Journal of the American Medical Informatics Association· Computer Science
distilled prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Pharma embraces open source models
Stephen Strauss
2010· article· en· Nature Biotechnology· Computer Science
distilled prediction:candidate · noneconsensus · none
25
citations
afffundno abstractunlabeled
TABS: A database of molecular structures
Shamus A. Blair, Ajit J. Thakkar
2014· article· en· Computational and Theoretical Chemistry· Computer Science
distilled prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Old Drugs, New Tricks
Tim Hughes, Brenda Andrews, Charles Boone
2004· review· en· Cell· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
25
citations
affno abstractunlabeled
Molecular Interactions
Muriel Gargaud, William M. Irvine, Ricardo Amils, Daniele L. Pinti, José Cernicharo Quintanilla, Daniel Rouan +3 more
2015· book-chapter· en· Encyclopedia of Astrobiology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
24
citations
affunlabeled
A Model-Based Ensembling Approach for Developing QSARs
Qianyi Zhang, Jacqueline M. Hughes‐Oliver, Raymond T. Ng
2009· article· en· Journal of Chemical Information and Modeling· Computer Science
distilled prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Introduction to Cheminformatics
David S. Wishart
2016· article· en· Current Protocols in Bioinformatics· Computer Science
distilled prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About