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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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Gut microbiota and health
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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.

4,457 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.
4,457 works in the cohort · of 4,299,418page 8 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.

afffundvenueunlabeled
Exercise training modifies gut microbiota in normal and diabetic mice
Jennifer E. Lambert, Jason P. Myslicki, Marc R. Bomhof, Darrell D. Belke, Jane Shearer, Raylene A. Reimer
2015· article· en· Applied Physiology Nutrition and Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
208
citations
fundno affunlabeled
Gut bacterial metabolism contributes to host global purine homeostasis
Kazuyuki Kasahara, Robert L. Kerby, Qijun Zhang, Meenakshi Pradhan, Margarete Mehrabian, Aldons J. Lusis +3 more
2023· article· en· Cell Host & Microbe· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
206
citations
afffundunlabeled
Combination of <i>Lactobacillus helveticus R0052</i> and <i>Bifidobacterium longum R0175</i> reduces post-myocardial infarction depression symptoms and restores intestinal permeability in a rat model
Jessica Arseneault-Bréard, Isabelle Rondeau, Gilbert Kim, Stéphanie‐Anne Girard, Thomas A. Tompkins, Roger Godbout +1 more
2011· article· en· British Journal Of Nutrition· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
204
citations
affunlabeled
Indoles from commensal bacteria extend healthspan
Robert Sonowal, Alyson Swimm, Anusmita Sahoo, Liping Luo, Yohei Matsunaga, Ziqi Wu +10 more
2017· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
193
citations
afffundno abstractunlabeled
Diversity and dynamism of IgA−microbiota interactions
Kelsey E. Huus, Charisse Petersen, B. Brett Finlay
2021· review· en· Nature reviews. Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
187
citations
afffundno abstractunlabeled
Fetal meconium does not have a detectable microbiota before birth
Katherine M. Kennedy, Max Gerlach, Thomas C. Adam, Markus M. Heimesaat, Laura Rossi, Michael G. Surette +2 more
2021· article· en· Nature Microbiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
186
citations

How this was built: Screen · Findings · About