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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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Blood Pressure and Hypertension Studies
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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.

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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.

3,018 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.
3,018 works in the cohort · of 4,299,418page 28 of 61

Labels cover 24 of 3,018 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 3,018 of 3,018 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.

aboutno affunlabeled
Renin Angiotensin System Blockade and Nephropathy
Norman K. Hollenberg, Murray Epstein
2006· review· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Validation in the General Population of the iHealth Track Blood Pressure Monitor for Self-Measurement According to the European Society of Hypertension International Protocol Revision 2010: Descriptive Investigation
Victoria Mazoteras‐Pardo, Ricardo Vallejo, Marta Elena Losa‐Iglesias, Daniel López‐López, Patricia Palomo‐López, David Rodríguez‐Sanz +1 more
2019· article· en· JMIR mhealth and uhealth· Medicine
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About