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 65 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.

fundno affno abstractunlabeled
Happy ageing by trusting our gut microbes
Anusha Jayaraman, Sven Pettersson
2022· review· en· Biochemical and Biophysical Research Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Infant gut microbiota and the hygiene hypothesis of allergic disease
Meghan B. Azad, Theodore Konya, Brenda Koster, Heather Maughan, David S. Guttman, Catherine J. Field +5 more
2012· article· en· Allergy Asthma and Clinical Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Microbiome and well-being: a meta-analysis
Marta Kowal, Piotr Sorokowski, Daniel David, Ioana Alexandra Iuga, Simone Renwick, Agnieszka Sorokowska
2025· review· en· npj Biofilms and Microbiomes· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
The Safety and Efficacy of Microbial Ecosystem Therapeutic-2 in People With Major Depression – A Phase 2, Double-Blind, Placebo-Controlled Study: Clinical Results: Innocuité et efficacité du traitement de l'écosystème microbien (met–2) dans la dépression majeure – une étude de phase 2 à double insu contrölée par placebo : résultats cliniques
Arthi Chinna Meyyappan, Cassandra Sgarbossa, Hayley Bromley, Evan Forth, Daniel J. Müller, Gustavo Vázquez +2 more
2025· article· en· The Canadian Journal of Psychiatry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Editorial: metabolomic biomarkers for colorectal adenocarcinoma and in the differentiation between irritable bowel syndrome and ulcerative colitis in clinical remission – confounded by the gut microbiome? Authors’ reply
Ammar Hassanzadeh Keshteli, Karen Madsen, Rupasri Mandal, Guy E. Boeckxstaens, Přemysl Berčík, Giada De Palma +4 more
2019· editorial· en· Alimentary Pharmacology & Therapeutics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About