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
Gut microbiota and health
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.

4,457 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.
4,457 works in the cohort · of 4,299,418page 24 of 90

Labels cover 7 of 4,457 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 4,457 of 4,457 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.

aboutno affunlabeled
Gut Microbiota in Psychiatric Disorders: A Systematic Review
Long Long Chen, Afrouz Abbaspour, George Frederick Mkoma, Cynthia M. Bulik, Christian Rück, Diana R. Djurfeldt
2021· review· en· Psychosomatic Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
51
citations
afffundunlabeled
Modulating brain function with microbiota
Jane A. Foster
2022· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
50
citations
afffundunlabeled
The influence of blood on the human gut microbiome
Thierry Chénard, Mandy Malick, Jean Y. Dubé, Éric Massé
2020· article· en· BMC Microbiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
Human microbiome restoration and safety
Eric Banan‐Mwine Daliri, Charles Nkufi Tango, Byong H. Lee, Deog‐Hwan Oh
2018· review· en· International Journal of Medical Microbiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Probiotics and Lung Immune Responses
Paul Forsythe
2014· article· en· Annals of the American Thoracic Society· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
49
citations
fundno affno abstractunlabeled
How to Determine the Role of the Microbiome in Drug Disposition
Jordan E. Bisanz, Peter Spanogiannopoulos, Lindsey M. Pieper, Annamarie E. Bustion, Peter J. Turnbaugh
2018· review· en· Drug Metabolism and Disposition· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
49
citations
afffundunlabeled
Into the wild: microbiome transplant studies need broader ecological reality
Christopher J. Greyson‐Gaito, Timothy Bartley, Karl Cottenie, Will M. C. Jarvis, Amy E. M. Newman, Mason R. Stothart
2020· article· en· Proceedings of the Royal Society B Biological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
48
citations

How this was built: Screen · Findings · About