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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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Canadian Journal of Forest Research
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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.

5,194 results · 1 filter active ·
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20002025
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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.
5,194 works in the cohort · of 4,299,418page 94 of 104

Labels cover 2 of 5,194 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 5,194 of 5,194 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.

venueno affunlabeled
Is the modern-day dieback of yellow-cedar unprecedented?
Benjamin V. Gaglioti, Daniel H. Mann, Gregory C. Wiles, N. Wiesenberg
2021· article· en· Canadian Journal of Forest Research· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
afffundvenueaboutunlabeled
Regional variation in wood discoloration in paper birch trees
Guillaume Giroud, Emmanuel Duchâteau, Isabelle Auger, Filip Havreljuk, Julie Barrette
2021· article· en· Canadian Journal of Forest Research· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Climate change, caribou protection, and Canada's timber supply
Denys Yemshanov, Mackenzie Simpson, Sylvie Gauthier, Ning Liu, John Pedlar, Pierre Y. Bernier +3 more
2025· article· en· Canadian Journal of Forest Research· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About