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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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Mesenchymal stem cell research
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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
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.

1,627 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.
1,627 works in the cohort · of 4,299,418page 21 of 33

Labels cover 1 of 1,627 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 1,627 of 1,627 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.

affunlabeled
Amniotic Stem Cells: Potential in Regenerative Medicine
Mahmud Bani‐Yaghoub, Patricia G. Wilson, Markus Hengstschläger, Toshio Nikaido, Duanqing Pei
2012· article· en· Stem Cells International· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Cell therapy to regenerate the ischemic heart
Drew Kuraitis, Carmen Giordano, Erik J. Suuronen, Marc Ruel
2014· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Engineered microtissues for the bystander therapy against cancer
Bárbara Blanco‐Fernandez, Irene Cano-Torres, Cristina Garrido, Gerard Rubí-Sans, Lourdes Sánchez‐Cid, Marta Guerra‐Rebollo +5 more
2021· article· en· Materials Science and Engineering C· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
New Stem Cell Workshop
D. W. van Bekkum
2001· article· nl· Stem Cells· Medicine
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About