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
Antimicrobial Peptides and Activities
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.

1,541 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.
1,541 works in the cohort · of 4,299,418page 16 of 31

Labels cover 1 of 1,541 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 1,541 of 1,541 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
Chapter 1 NMR of Antimicrobial Peptides
Evan F. Haney, Hans J. Vogel
2009· book-chapter· en· Annual reports on NMR spectroscopy· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
26
citations
afffundunlabeled
Exploration of BAY 11-7082 as a Potential Antibiotic
Victoria E. Coles, Patrick Darveau, Xiong Zhang, Hanjeong Harvey, Brandyn D. Henriksbo, Angela Yang +3 more
2021· article· en· ACS Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
Liposomes as Models for Antimicrobial Peptides
Richard M. Epand, Raquel F. Epand
2003· article· en· Methods in enzymology on CD-ROM/Methods in enzymology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
Anionic Lipid Clustering Model
Richard M. Epand
2019· review· en· Advances in experimental medicine and biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Bactericidal activity of porcine neutrophil secretions
Sarah E. Scapinello, Andrew S. Brooks, Janet I. MacInnes, Jutta Hammermueller, Mary E. Clark, Jeff Caswell
2010· article· en· Veterinary Immunology and Immunopathology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Daptomycin Leakage Is Selective
Jin Zhang, Kyle Scoten, Suzana K. Straus
2016· article· en· ACS Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Host Defense Peptides in the Oral Cavity
Deirdre DeVine, Céline Cosseau
2008· review· en· Advances in applied microbiology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About