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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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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
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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 1 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
Job Burnout
Christina Maslach, Wilmar B. Schaufeli, Michael P. Leiter
2001· article· en· Annual Review of Psychology· Health Professions
machine prediction:candidate · noneconsensus · none
12,387
citations
affunlabeled
Burnout: 35 years of research and practice
Wilmar B. Schaufeli, Michael P. Leiter, Christina Maslach
2009· article· en· Career Development International· Health Professions
machine prediction:candidate · noneconsensus · none
1,912
citations
affno abstractunlabeled
Physician wellness: a missing quality indicator
Jean E. Wallace, Jane B Lemaire, William A. Ghali
2009· review· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
1,609
citations
afffundaboutunlabeled
Nurse turnover: the mediating role of burnout
Michael P. Leiter, Christina Maslach
2009· article· en· Journal of Nursing Management· Health Professions
machine prediction:candidate · noneconsensus · none
821
citations
affunlabeled
Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis
Zhi Xuan Low, Keith A Yeo, Vijay K. Sharma, Gkk Leung, Roger S. McIntyre, Anthony P. S. Guerrero +7 more
2019· review· en· International Journal of Environmental Research and Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
420
citations
affunlabeled
A Systematic Review of Stress in Dental Students
Hawazin W. Elani, Paul Allison, Ritu Kumar, Laura Mancini, Angella Lambrou, Christophe Bedos
2014· review· en· Journal of Dental Education· Health Professions
machine prediction:candidate · noneconsensus · none
389
citations
affvenueno abstractunlabeled
Applying the Lessons of SARS to Pandemic Influenza
Robert Maunder, Molyn Leszcz, Diane Savage, Mary Anne Adam, Nathalie Peladeau, Donna Romano +2 more
2008· review· en· Canadian Journal of Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
299
citations
affunlabeled
Workload and burnout in nurses
Esther R. Greenglass, Ronald J. Burke, Lisa Fıksenbaum
2001· article· en· Journal of Community & Applied Social Psychology· Health Professions
machine prediction:candidate · noneconsensus · none
287
citations
affno abstractunlabeled
Doctors' health: taking the lifecycle approach
M. Peters, Omar Hasan, Derek Puddester, Antony Garelick, Clifford Holliday, T. Rapanakis +1 more
2013· editorial· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
243
citations
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