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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
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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
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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.

1,376 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 15 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.

affno abstractunlabeled
Weaning the “difficult-to-wean” patient
Christine L. D’Arsigny, Gail-Anne Harris, Wilma M. Hopman, Denis E. O’Donnell
2004· article· en· CHEST Journal· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Sociodemographic Profile, Health Conditions, and Burden of Informal Caregivers of Older Adults in Brazil During the COVID-19 Pandemic: Cross-Sectional, Exploratory, Noninterventional, Descriptive Study
Julielen Larissa Alexandrino Moraes, Mateus Cunha Gomes, Lucianne Nascimento de Araujo, Tainá Sayuri Onuma de Oliveira, Glenda Roberta Oliveira Naiff Ferreira, Cintia Yolette Urbano Pauxis Aben‐Athar +4 more
2023· article· en· JMIR Formative Research· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Keeping pediatric patients comfortable
Jacqueline Ellis, Betty Rowley
2003· article· en· Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Family Types in the Neurotrauma Intensive Care Unit
Isaac I. Bogoch, Sanjeev Sockalingam, Natasha Bollegala, Andrew Baker, Shree Bhalerao
2005· article· en· American Journal of Critical Care· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Family-centred care in the NICU.
Janice Beveridge, Bodnaryk, Ramachandran
2001· article· en· Canadian nurse· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Post-COVID-19 Lessons
Julia Grapsa
2020· editorial· en· JACC Case Reports· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Health care–associated family mental injury
Élie Azoulay, Frédéric Pochard, Judith E. Nelson, Margaret S. Herridge, Samir Jaber, Nancy Kentish‐Barnes
2025· article· en· American Journal of Respiratory and Critical Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Development of a novel triage tool for knee surgery
Mark Harrison, Wilma Hopman, John Hope, M. Brean, D.V. Cooke
2013· article· en· Osteoarthritis and Cartilage· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Educational Television
Cécile Michaud
2020· article· en· The SAGE International Encyclopedia of Mass Media and Society· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
COVID-19: Mobilizing Quickly for a Rapid Response
Mollie Kettle, Kelly Kester, Allen Cadavero, Sara Floyd, Amanda Ornell, Maggie H. Meyer +3 more
2020· article· en· AACN Advanced Critical Care· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Home care in respiratory therapy.
Blayne T Clarke
2016· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

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