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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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Pancreatic function and diabetes
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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.

3,793 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.
3,793 works in the cohort · of 4,299,418page 34 of 76

Labels cover 3 of 3,793 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 3,793 of 3,793 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
Nonviral Transfection of Intact Pancreatic Islets
Jonathan R. T. Lakey, Annie TL Young, Deborah Pardue, S Calvin, Timothy E. Albertson, Laura Jacobson +1 more
2001· article· en· Cell Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
T cells accumulate in non-diabetic islets during ageing
Heather C. Denroche, Stéphanie Miard, Sandrine Sallé-Lefort, Frédéric Picard, C. Bruce Verchere
2021· article· en· Immunity & Ageing· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
aboutno affunlabeled
Cell transplantation for diabetes
Roy Calne
2005· review· en· Philosophical Transactions of the Royal Society B Biological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
The Engineering of Tissues Using Progenitor Cells
Nancy L. Parenteau, Lawrence Rosenberg, Janet Hardin-Young
2004· review· en· Current topics in developmental biology/Current Topics in Developmental Biology· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
β-cell transplantation for diabetes therapy
Camillo Ricordi, Berhard J Hering, AM James Shapiro
2008· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
afffundaboutunlabeled
Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research’s Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health’s National Institute of Diabetes and Digestive and Kidney Diseases
William T. Cefalu, Dana K. Andersen, Guillermo Arreaza-Rubín, Christopher L. Pin, Sheryl M. Sato, C. Bruce Verchere +2 more
2021· review· en· Diabetes· Medicine
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About