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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 Management Forum
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,173 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.
1,173 works in the cohort · of 4,299,418page 14 of 24

Labels cover 2 of 1,173 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 1,173 of 1,173 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
Job Loss among Hospital Workers: Antecedents and Consequences
Judy Brown, Christel A. Woodward, Harry S. Shannon, Charles E. Cunningham, Bonnie Lendrum, John L. McIntosh +1 more
2002· article· en· Healthcare Management Forum· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
afffundaboutunlabeled
Designated specialized units
Zsófia Orosz, Amy Porteous, Melissa Donskov, Tracy Luciani, Peter G. Walker
2016· review· en· Healthcare Management Forum· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
fundaboutno affunlabeled
Do high drug prices fund pharmaceutical innovation?
William Lazonick, Öner Tulum
2024· article· en· Healthcare Management Forum· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Building Organizational Capacity for Change
Kathleen Heslin, Jo-Anne Marr
2008· article· en· Healthcare Management Forum· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
The digital divide: David vs. Goliath
Steve Kovacic, T.J. Carlson
2023· article· en· Healthcare Management Forum· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Can Leadership Make a Difference?
Jocelyne Wong, Robert E. Modrow
2004· article· en· Healthcare Management Forum· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Multimorbidity and Our Healthcare System
Sholom Glouberman
2014· article· en· Healthcare Management Forum· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A Test of a Centre's Vision
John Laporta, Gillian King, Tamzin Cathers, Lisa Havens, Cathy Young, Sandra Aylward
2003· article· en· Healthcare Management Forum· Psychology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The journey to include patient and family voices
Eileen Goudy, Mary Jackson, Rita den Otter, Marilyn Bater
2015· review· en· Healthcare Management Forum· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About