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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 Operations and Scheduling Optimization
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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.

988 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.
988 works in the cohort · of 4,299,418page 5 of 20

Labels cover 1 of 988 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 988 of 988 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Optimization in Healthcare Delivery Modeling: Methods and Applications
Sakine Batun, Mehmet A. Begen
2013· book-chapter· en· International series in management science/operations research/International series in operations research & management science· Health Professions
distilled prediction:candidate · metaepi_narrow+bibliometrics+sts+scholarly_communication+research_integrity+insufficient_payloadconsensus · sts
27
citations
affunlabeled
Health care operations management
Michael Carter, Erwin W. Hans, Rainer Kolisch
2012· article· en· OR Spectrum· Health Professions
distilled prediction:candidate · sts+insufficient_payloadconsensus · insufficient_payload
27
citations
affunlabeled
Process Improvement in Hospitals
Stefan Nickel, Ursula-Anna Schmidt
2009· article· en· Quality Management in Health Care· Health Professions
distilled prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Dynamic Interday and Intraday Scheduling
Christos Zacharias, Nan Liu, Mehmet A. Begen
2022· article· en· Operations Research· Health Professions
distilled prediction:candidate · sts+insufficient_payloadconsensus · none
24
citations
afffundaboutunlabeled
Toward Standard Definitions for Waiting Times
Claudia Sanmartin, Tom Noseworthy, Morris L. Barer, Charlyn Black, Lauren Donnelly, Isra Levy +6 more
2003· article· en· Healthcare Management Forum· Health Professions
distilled prediction:candidate · stsconsensus · none
23
citations
afffundaboutno abstractunlabeled
A demand-based assessment of the Canadian anesthesia workforce — 2002 through 2007
Dale Engen, Gordon H. Morewood, Nancy Ghazar, Ted Ashbury, Elizabeth G. Van Den Kerkhof, Louie Wang
2005· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · none
22
citations
affaboutunlabeled
Simulation-Based Mock-Up Evaluation of a Universal Operating Room
Jonas Shultz, David Borkenhagen, Emily Rose, Brendan Gribbons, Hannah Rusak-Gillrie, Shelly Fleck +2 more
2019· article· en· HERD Health Environments Research & Design Journal· Health Professions
distilled prediction:candidate · metaresearch+sts+insufficient_payloadconsensus · none
21
citations

How this was built: Screen · Findings · About