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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.

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 12 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.

affvenueunlabeled
Physician suicide
Joy Albuquerque, Sarah Tulk
2019· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Does Physician Retirement Affect Patients? A Systematic Review
Kenneth Lam, Cameron G. Arnold, Rachel Savage, Nathan M. Stall, Lynn Zhu, Wei Wu +3 more
2019· review· en· Journal of the American Geriatrics Society· Health Professions
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Critical Care Staffing in Pandemics and Disasters
Charles L. Sprung, Asha V. Devereaux, Marya Ghazipura, Lisa Burry, Tanzib Hossain, Mitchell Hamele +17 more
2023· review· en· CHEST Journal· Health Professions
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Impact of leadership on ICU clinicians’ burnout
Amr Salah Omar, Sameh Elmaraghi, Mohsen Mahmoud, Mohamed A. Khalil, Rajvir Singh, Peter J. Ostrowski
2015· letter· en· Intensive Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
18
citations
affaboutunlabeled
Physician wellness in orthopaedic surgery
Hassan R. Mir, Katheryne Downes, Antonia F. Chen, Ruby Grewal, Derek M. Kelly, Michael J. Lee +2 more
2021· article· en· Bone & Joint Open· Health Professions
machine prediction:candidate · noneconsensus · none
18
citations
affaboutno abstractunlabeled
A Longitudinal Survey on Canadian Emergency Physician Burnout
Kerstin de Wit, Anna Tran, Natasha Clayton, Darshana Seeburruth, Rodrick Lim, Patrick Archambault +6 more
2024· article· en· Annals of Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Compassion Fatigue in Surgical Trainees
Natashia M. Seemann, Paul J. Karanicolas, Matthew P. Guttman, Avery B. Nathens, Homer Tien, Janet Ellis +2 more
2019· article· en· Journal of surgical education· Health Professions
machine prediction:candidate · noneconsensus · none
18
citations

How this was built: Screen · Findings · About