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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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Patient Safety and Medication Errors
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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
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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.

1,743 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.
1,743 works in the cohort · of 4,299,418page 18 of 35

Labels cover 12 of 1,743 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 1,743 of 1,743 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
The Business Case for Patient Safety
Matthew Anderson, Michael Baker, Robert Bell, Mary Ferguson-Paré, Lydia Lee, Emily Musing +1 more
2006· article· en· Healthcare Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
We need to talk about critical care in Brazil
Luiz Alberto Cerqueira Batista Filho, Varinder K. Randhawa, Alexandre Toledo Maciel, Marcelo Rocha Coimbra
2022· letter· en· Clinics· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
affvenueunlabeled
Improving Patient Safety: Just Do It!
Edward Etchells, Mark Bernstein
2001· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Dispensing Error Leading to Alendronate Ingestion
Benoit Carrière, Benoit Bailey, Gilles Chabot, Denis Lebel
2003· article· en· Annals of Pharmacotherapy· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
The problem with ‘never events’
Joanna Zaslow, Jacqueline H. Fortier, Gary Garber
2024· editorial· en· BMJ Quality & Safety· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
An Introduction to Patient Safety
John Maamoun
2009· article· en· Journal of medical imaging and radiation sciences· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Survey of Nursery Errors in Healthcare Centers, Isfahan, Iran
Ali Ayoubian, Mansooreh Habibi, Pouria Yazdian Anari, Hossein Bagherian-Mahmoodabadi, Peyman Arasteh, Tannaz Eghbali +1 more
2015· article· en· Global Journal of Health Science· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Patient safety: a wake‐up call
Samuel B. Sheps, Karen Cardiff
2011· article· en· Clinical Governance An International Journal· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Not Overstepping Professional Boundaries
Lianne Jeffs, Sherry Espin, Lisa Rorabeck, Sarah E. Shannon, Lynne Robins, Wendy Levinson +3 more
2011· article· en· Journal of Nursing Care Quality· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About