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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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Journal of Burn Care & Research
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Retraction
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

551 results · 1 filter active ·
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20062025
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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.
551 works in the cohort · of 4,299,418page 3 of 12

Labels cover 1 of 551 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 551 of 551 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
Face Allotransplantation and Burns
Anna Arno, Juan P. Barret, Rachael A. Harrison, Marc G. Jeschke
2012· review· en· Journal of Burn Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
26
citations
aboutno affunlabeled
Toward Targeted Early Burn Care
Anne‐Françoise Rousseau, Paul Massion, Alexis Laungani, Jean-Luc Nizet, Pierre Damas, Didier Ledoux
2014· article· en· Journal of Burn Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
23
citations
afffundaboutunlabeled
Returning to Work After Electrical Injuries
Mary Stergiou‐Kita, Elizabeth Mansfield, Mark Bayley, J. David Cassidy, Angela Colantonio, Manuel Gómez +5 more
2014· article· en· Journal of Burn Care & Research· Health Professions
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Pain and Pruritus Postburn Injury
Bernadette Nedelec, Gretchen J. Carrougher
2017· article· en· Journal of Burn Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Burn Rehabilitation Therapists Competency Tool—Version 2
Ingrid Parry, Lisa K. Forbes, David Lorello, Lynne Benavides, Catherine Calvert, Shu-Chuan Hsu +11 more
2016· article· en· Journal of Burn Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Early Acute Kidney Injury Following Major Burns
George Ho, Fernando Camacho, Alan D. Rogers, Robert Cartotto
2020· article· en· Journal of Burn Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Zinc Supplementation in Burn Patients
Nancy Caldis-Coutris, Justin Gawaziuk, Sarvesh Logsetty
2012· article· en· Journal of Burn Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Pediatric Toxic Epidermal Necrolysis
Gavin M. Hamilton, Joel Fish
2013· article· en· Journal of Burn Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About