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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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Dialysis and Renal Disease Management
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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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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 ·
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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.
4,224 works in the cohort · of 4,299,418page 15 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.

affunlabeled
Can economic incentives increase the use of home dialysis?
Braden Manns, John Agar, Mohan Biyani, Peter G. Blake, Alan Cass, Bruce F. Culleton +8 more
2018· review· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
afffundvenueno abstractunlabeled
Cardioprotective medication use in hemodialysis patients
Lisa Miller, Wilma M. Hopman, Jocelyn S. Garland, Karen Yeates, Rachel M. Pilkey
2006· article· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Hemeral (Daily) Hemodialysis
Robert M. Lindsay, Claude Kortas
2001· review· en· Advances in Renal Replacement Therapy· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
aboutno affunlabeled
Geriatric Assessment in Advanced Kidney Disease
Edwina A. Brown, Ken Farrington
2019· article· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
afffundaboutunlabeled
Neighborhood Socioeconomic Status and Barriers to Peritoneal Dialysis
Suma Prakash, Adam T. Perzynski, Peter C. Austin, C. Fangyun Wu, Mary Ellen Lawless, J. Michael Paterson +3 more
2013· article· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
venueno affunlabeled
Needs of Hemodialysis Patients and Factors Affecting Them
Dhima Xhulia, Jaku Gerta, Zefaj Dajana, Ioannis Κoutelekos, Chrysoula Vasilopoulou, Margitsa Skopelitou +1 more
2015· article· en· Global Journal of Health Science· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
affvenueaboutunlabeled
Optimal timing of initiation of chronic hemodialysis?
Barbara Wilson, Lori Harwood, Heather Locking-Cusolito, Salina J. Chen, Paul Heidenheim, Don CRAIK +1 more
2007· article· en· Hemodialysis International· Medicine
machine prediction:candidate · noneconsensus · none
41
citations

How this was built: Screen · Findings · About