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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.

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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
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.

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 7 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.

venueno affno abstractunlabeled
10.1016/b978-1-4557-4696-5.00002-6
2000· book-chapter· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
manifest.xml
Michelle Cullen, David Topps
2019· dataset· en· Harvard Dataverse· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
The study of NOELs
Catherine Collins
2005· letter· en· Canadian Medical Association Journal· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Mapping Knowledge Synthesis - Part II
Αναστασία Μαλλίδου
2014· article· en· Nursing
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affunlabeled
Counting as caring.
Christopher Downey
2007· article· en· PubMed· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affgpt · no categorygrok · no categoryopus · no categorymodels agree
A Review of Instrumentation in Nursing Student Clinical Evaluation
Elizabeth R. Van Horn, Lynne Porter Lewallen
2016· review· en· STTI/NLN Nursing Education Research Conference· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
TTalk: Vernon
Amanda O’Rae, Michelle Cullen, David Topps
2019· dataset· en· Harvard Dataverse· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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How this was built: Screen · Findings · About