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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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Healthcare professionals’ stress and burnout
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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.

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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.

1,945 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.
1,945 works in the cohort · of 4,299,418page 11 of 39

Labels cover 8 of 1,945 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 1,945 of 1,945 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.

affaboutunlabeled
Physicians as Teachers and Lifelong Learners
Mao Ding, Оксана Бабенко, Sudha Koppula, Anna Oswald, Jonathan White
2018· article· en· Journal of Continuing Education in the Health Professions· Health Professions
machine prediction:candidate · noneconsensus · none
23
citations
venueno affunlabeled
Mental Health and Burnout Syndrome Among Postgraduate Students in Medical and Multidisciplinary Residencies During the COVID-19 Pandemic in Brazil: Protocol for a Prospective Cohort Study
Rebeca da Nóbrega Lucena Pinho, Thaís Ferreira Costa, Nayane Miranda Silva, Adriana Ferreira Barros Areal, André De Mattos Salles, Andréa Pedrosa Ribeiro Alves Oliveira +20 more
2020· article· en· JMIR Research Protocols· Health Professions
machine prediction:candidate · noneconsensus · none
22
citations
affvenueaboutunlabeled
Workplace Support for Employees with Cancer
Behdin Nowrouzi‐Kia, Nancy Lightfoot, Karine Côté, R. Scott Watson
2009· article· en· Current Oncology· Health Professions
machine prediction:candidate · noneconsensus · none
21
citations
venueno affunlabeled
Fatigue and Vitamin D Status in Iranian Female Nurses
Negin Masoudi Alavi, Mahla Madani, Zohre Sadat, Hamed Haddad Kashani, Mohammad Reza Sharif
2015· article· en· Global Journal of Health Science· Health Professions
machine prediction:candidate · noneconsensus · none
20
citations
venueno affunlabeled
High Burden of Burnout on Rheumatology Practitioners
Vivekanand Tiwari, Arthur Kavanaugh, George Martin, Martin Bergman
2020· article· en· The Journal of Rheumatology· Health Professions
machine prediction:candidate · noneconsensus · none
20
citations
affaboutunlabeled
Wellbeing and mental health amongst medical students in Canada
T. Christopher Wilkes, Thomas Lewis, Mike Paget, Johanna Holm, Nancy Brager, Andy Bulloch +3 more
2021· article· en· International Journal of Social Psychiatry· Health Professions
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About