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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
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.

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 27 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.

affunlabeled
Physician burnout and patient care practices in Sierra Leone
Mohamed B. Jalloh, Asad Naveed, Sylnata A. A. Johnson, Abdul Karim Bah, Fatmata B. Barrie, Joseph V. Sengeh +1 more
2025· article· en· Discover Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Emotional Exhaustion in Healthcare Workers
Sundus Siddique, Rebecca Gore, Yuan Zhang, Laura Punnett
2024· article· en· Journal of Occupational and Environmental Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A Recovery Pathway After COVID-19 Teacher Burnout
Laura Sokal, Lesley Eblie Trudel
2022· article· en· Journal of Social Behavioral and Health Sciences· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Burnout Exacerbation due to COVID-19 Pandemic
Amer Alaref, A. El‐Nayal, Ameya Kulkarni, Abdullah Alabousi, Christian B. van der Pol
2021· letter· en· Canadian Association of Radiologists Journal· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Burnout
Michael P. Leiter
2021· book-chapter· en· Handbook series in occupational health sciences· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Physician, heal thyself
Régis Blais, Catherine Safianyk, Anne Magnan, André Lapierre
2010· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Coaching reduces resident burnout
Michael Ott
2022· letter· en· The Journal of Pediatrics· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
A modest request
David P. Thow
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations

How this was built: Screen · Findings · About