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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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Family and Patient Care in Intensive Care Units
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.

1,376 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.
1,376 works in the cohort · of 4,299,418page 18 of 28

Labels cover 4 of 1,376 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 1,376 of 1,376 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.

affvenueunlabeled
Nursing Processes Related to Unexpected ICU Admissions
Jennifer Martin, Roberta Heale, Nancy Lightfoot, Laura Hill
2018· article· en· Diversity of Research in Health Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
A gift to your family
Douglas McGregor, Pat Porterfield, Michael A. Tolson
2011· article· en· BMJ Supportive & Palliative Care· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Evidence‐based medicine
Eddy Lang, Zubair Bayat
2015· other· en· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Parental Presence in the NICU
Debra Brandon, Jacqueline M. McGrath
2023· article· en· Advances in Neonatal Care· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
A Thematic Analysis of Intensive Care Unit Diaries Content
Maia S. Kredentser, Kristin Reynolds, Nicole Marten, Marcus Blouw, Jitender Sareen, Kendiss Olafson
2025· article· en· Nursing in Critical Care· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Honoring Marie Manthey
Cyrus Batheja, Dennis Demedts, Barbara A. Greene, Susan Lampe, Marty Lewis-Hunstiger, Teddie Potter +5 more
2025· editorial· en· Creative Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Looking for My Lost Self
Claire Su‐Yeon Park
2022· article· en· Clinical Nurse Specialist· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Patient and family perceptions of a discharge bedside board
Diana E. McMillan, D.B. Brown, Kendra L. Rieger, G. H. Duncan, Joseph F. Plouffe, Christian Amadi +1 more
2023· article· en· PEC Innovation· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Transformational Leaders Transcend Specialities
May Hua, Hannah Wunsch, Rebecca A. Aslakson
2022· review· en· Journal of Pain and Symptom Management· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About