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
Nature Reviews Drug Discovery
Topic
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.

108 results · 1 filter active ·
Results by year
20022025
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.
108 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 108 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 108 of 108 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.

afffundno abstractunlabeled
Unleashing the therapeutic potential of NOD-like receptors
Kaoru Geddes, João G. Magalhães, Stephen E. Girardin
2009· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
231
citations
afffundno abstractunlabeled
Therapeutic strategies targeting connexins
Dale W. Laird, Paul D. Lampe
2018· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
225
citations
affno abstractunlabeled
Therapeutic potential of complement modulation
Éric Wagner, Michael M. Frank
2009· review· en· Nature Reviews Drug Discovery· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
220
citations
affno abstractunlabeled
Liraglutide
Daniel J. Drucker, Argyris Dritselis, Peter Kirkpatrick
2010· review· en· Nature Reviews Drug Discovery· Medicine
machine prediction:candidate · noneconsensus · none
177
citations
affno abstractunlabeled
The end of an era?
Robert E. W. Hancock
2006· review· en· Nature Reviews Drug Discovery· Health Professions
machine prediction:candidate · noneconsensus · none
167
citations
affno abstractunlabeled
Discoveries, drugs and skeletal disorders
David Goltzman
2002· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
167
citations
affno abstractunlabeled
Potential cardioprotective actions of no-releasing aspirin
John L. Wallace, Louis J. Ignarro, Stefano Fiorucci
2002· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
135
citations
affno abstractunlabeled
Prion diseases — close to effective therapy?
Neil R. Cashman, Byron Caughey
2004· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
119
citations
affno abstractunlabeled
Enfuvirtide
Jason A. LaBonte, John Lebbos, Peter Kirkpatrick
2003· review· en· Nature Reviews Drug Discovery· Medicine
machine prediction:candidate · noneconsensus · none
98
citations
affno abstractunlabeled
Minimum information about a bioactive entity (MIABE)
Sandra Orchard, Bissan Al‐Lazikani, Steve Bryant, Dominic A. Clark, Elizabeth A. Calder, Ian Dix +19 more
2011· review· en· Nature Reviews Drug Discovery· Computer Science
machine prediction:candidate · metaresearchconsensus · none
97
citations
affno abstractunlabeled
Tackling reproducibility in academic preclinical drug discovery
Stephen V. Frye, Michelle R. Arkin, C.H. Arrowsmith, P. Jeffrey Conn, Marcie A. Glicksman, Emily A. Hull-Ryde +1 more
2015· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
85
citations
affno abstractunlabeled
Sitagliptin
Daniel J. Drucker, Chris Easley, Peter Kirkpatrick
2007· review· en· Nature Reviews Drug Discovery· Medicine
machine prediction:candidate · noneconsensus · none
70
citations
affno abstractunlabeled
Preclinical target validation using patient-derived cells
A.M. Edwards, C.H. Arrowsmith, C. Bountra, Mark E. Bunnage, Marc Feldmann, Julian C. Knight +55 more
2015· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
54
citations
affno abstractunlabeled
Voltage-gated sodium channels in excitable cells as drug targets
Matthew Alsaloum, Sulayman D. Dib‐Hajj, Dana A. Page, Peter C. Ruben, Adrian R. Krainer, Stephen G. Waxman
2025· review· en· Nature Reviews Drug Discovery· Neuroscience
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
Putting translational science on to a global stage
C. Taylor Gilliland, Dorit Zuk, Petr Kočiš, M. S. Johnson, Stewart Hay, Marián Hajdúch +4 more
2016· review· en· Nature Reviews Drug Discovery· Medicine
machine prediction:candidate · metaresearchconsensus · none
26
citations
affno abstractunlabeled
Industry–academia collaborations for biomarkers
Khusru Asadullah, Andreas Busch, Matthias Gottwald, Petra Reinke, Lilla Landeck
2015· review· en· Nature Reviews Drug Discovery· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
The changing landscape of medicinal chemistry optimization
Anita Rácz, Levente M. Mihalovits, Maximilian Beckers, Nikolas Fechner, Nikolaus Stiefl, Finton Sirockin +5 more
2025· review· en· Nature Reviews Drug Discovery· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About