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
Dialysis and Renal Disease Management
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.

4,224 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.
4,224 works in the cohort · of 4,299,418page 83 of 85

Labels cover 8 of 4,224 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 4,224 of 4,224 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.

venueno affno abstractunlabeled
10.1016/b978-0-323-04602-2.50080-1
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Preface
Christopher R. Blagg
2011· article· en· Hemodialysis International· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
«Devrais-je aller en dialyse, docteur?»
Dori Seccareccia, James Downar
2012· article· fr· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Acknowledgment to Reviewers
2025· article· en· American Journal of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
ประสบการณการอบรมดงานทหนวย Home Homodialysis, Toronto General Hospital เมองโตรอนไต ประเทศแคนาดา
วทัญญู พาราพิบูลย์
2018· article· th· Maharat Nakhon Ratchasima Hospital Medical Bulletin- เวชสารโรงพยาบาลมหาราชนครราชสีมา· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Preface
Madhukar Misra
2007· article· en· Hemodialysis International· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Preface
Christopher R. Blagg
2010· article· en· Hemodialysis International· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Correction to: Chronic Kidney Disease and End Stage Renal Disease
Dan Martinusen, Judith Marin, Elaine Cheng, Wynnie Lau
2022· book-chapter· en· Advanced clinical pharmacy - research, development and practical applications/Advanced clinical pharmacy - research, development and practical applications· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1762-0945(23)45640-9
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1762-0945(19)86744-x
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Reviewer's Acknowledgement
2010· article· en· Hemodialysis International· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-323-04602-2.50073-4
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundaboutno affunlabeled
Challenges in Hemodialysis
Sarah Daisy Kosa
2020· dissertation· en· MacSphere (McMaster University)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nephrology literature watch
Brett W. Stephens, Sachin Soni, Donald A. Molony
2009· article· en· Dialysis & Transplantation· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Neuroimaging Findings Across the Spectrum of Kidney Disease
Natasha Jawa, Mackenzie Collins, Brian J. Laight, Akasham Rajagopaul, Amanda Ross‐White, J. Gordon Boyd
2025· article· en· Neurology Open Access· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About