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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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International Journal of Evidence-Based Healthcare
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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.

79 results · 1 filter active ·
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20062019
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
79 works in the cohort · of 4,299,418page 2 of 2

Labels cover 2 of 79 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 79 of 79 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Predicting risk and outcomes for frail older adults
João Apóstolo, Elzbieta Bobrowicz‐Campos, Carol Holland, Richard Cooke, Sol Silva Santana, Maura Marcucci +3 more
2016· article· en· International Journal of Evidence-Based Healthcare· Medicine
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Leveraging expertise
Zoe Jordan
2017· editorial· en· International Journal of Evidence-Based Healthcare· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · research_integrity
1
citations
aboutno affunlabeled
Medicinal cannabis
Hanan Khalil
2018· editorial· en· International Journal of Evidence-Based Healthcare· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
1
citations
affaboutunlabeled
TLC - Truth, Lies and Consequences
Tazim Virani
2007· editorial· en· International Journal of Evidence-Based Healthcare· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Improving patient experiences of health care
Kate Seers
2008· editorial· en· International Journal of Evidence-Based Healthcare· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · none
0
citations
aboutno affunlabeled
Scaling new heights in global health
Hanan Khalil
2014· editorial· en· International Journal of Evidence-Based Healthcare· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · research_integrity
0
citations
affno abstractunlabeled
Context matters … more than ever
Tazim Virani
2012· letter· en· International Journal of Evidence-Based Healthcare· Health Professions
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Caring for Terminally Ill Cancer Persons
Wipa Wiseso, Warunee Fongkaew, Nitaya Pinyokham, Jude Spiers
2016· article· en· International Journal of Evidence-Based Healthcare· Medicine
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Entertaining fascism?
Dave Holmes, Stuart J. Murray, Amélie Perron, Geneviève Rail
2006· article· en· International Journal of Evidence-Based Healthcare· Health Professions
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About