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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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Diabetes Management and 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.

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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.

2,770 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,770 works in the cohort · of 4,299,418page 33 of 56

Labels cover 14 of 2,770 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 2,770 of 2,770 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.

affno abstractunlabeled
Substance Use Among Adolescents with Type 1 Diabetes
Jessica Pan, Sherry Van Blyderveen, Zubin Punthakee, Christina Grant
2010· article· en· Journal of Adolescent Health· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Early Stages of Automated Insulin Delivery
Howard Zisser, Roman Hovorka, Ananda Basu, Tadej Battelino, Charlotte K. Boughton, Marc D. Breton +23 more
2025· review· en· Diabetes Technology & Therapeutics· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Die Entdeckung des Insulins
Peter Diem
2020· article· de· Therapeutische Umschau· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Endogenous and Pancreatic Insulins
P. J. Moloney
2008· book-chapter· en· Novartis Foundation symposium· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Continuous glucose monitoring in diabetes
Samantha S. Moe, Michael R. Kolber, Jamie Falk
2023· article· en· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Cardiovascular Disease and the Use of Insulin
Caroline K. Kramer, Bernard Zinman
2013· editorial· en· Diabetes Technology & Therapeutics· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Mood and sleep in young adults with type 1 diabetes
Samantha A Carreon, Marissa N. Baudino, Charles G. Minard, Sarah K. Lyons, Randi Streisand, Barbara J. Anderson +6 more
2025· article· en· Journal of Pediatric Psychology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Cost Minimal Effectiveness of SMBG
Baiju R. Shah, Tara Gomes, David N. Juurlink, J. Michael Paterson, Muhammad Mamdani
2010· article· en· Canadian Journal of Diabetes· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Banting and Best: The Extraordinary Discovery of Insulin
Luís Cardoso, Dírcea Rodrigues, Leonor Gomes, Francisco Carrilho
2017· article· en· Revista Portuguesa de Endocrinologia Diabetes e Metabolismo· Medicine
machine prediction:candidate · stsconsensus · none
2
citations
affunlabeled
Technology and Pregnancy
Jennifer M. Yamamoto, Helen Murphy
2020· review· en· Diabetes Technology & Therapeutics· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About