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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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Nursing Diagnosis and Documentation
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
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.

423 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.
423 works in the cohort · of 4,299,418page 8 of 9

Labels cover 1 of 423 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 423 of 423 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
Medische beeldvorming: nat versus droog
Els Tourwé, Hans Strijckers, Annick Hubin
2002· article· nl· VUBIR (Vrije Universiteit Brussel)· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Happy birthday to us!
Kim Curry
2023· editorial· en· Journal of the American Association of Nurse Practitioners· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
map_question_response.xml
Michelle Cullen, David Topps
2019· dataset· en· Harvard Dataverse· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Documentation in Nursing, 1st Canadian edition
Jennifer Lapum, Oona St-Amant, Charlene Ronquillo, Michelle Hughes, Joy Garmaise-Yee
2020· book· en· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-323-03322-0.50015-5
2000· book-chapter· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
The Revised EYFS in practice
Ann Langston, Jonathan Doherty
2012· book· en· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
LO03: Validation of The Ottawa Troponin Pathway
Brandon Lam, J. Li, Muhammad Mukarram, Marie‐Joe Nemnom, Ronald A. Booth, Venkatesh Thiruganasambandamoorthy
2019· article· en· Canadian Journal of Emergency Medicine· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
OHM' Review and projects - 2023-2024
Jean-Philippe Bedell, Eduardo Ferreira da Silva, Pascal Jean Lopez, Najat Bhiry, Armelle Decaulne, Damien Davy +8 more
2024· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Nursing Student Data
Kim Mitchell
2020· dataset· en· Harvard Dataverse· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sherlock Holmes : The Hound of the Baskervilles
2010· report· en· Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt)· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Real Case Studies
Cynthia Anderle
2015· letter· en· AJN American Journal of Nursing· Nursing
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About