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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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The Forestry Chronicle
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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.

1,689 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.
1,689 works in the cohort · of 4,299,418page 19 of 34

Labels cover 0 of 1,689 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 1,689 of 1,689 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.

venueaboutno affunlabeled
Cars made of wood and hemp fibres? Why not?
John J. Balatinecz, Mohini Sain
2007· article· en· The Forestry Chronicle· Materials Science
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Benefits of Sandstorm Control in China
Zhongjie Shi, Xiaohui Yang, Hao Guo, Nan Shan, Yun Tian, Bo Zhang +1 more
2014· article· en· The Forestry Chronicle· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
EDITORIAL / ÉDITORIAL
2004· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
venueno affno abstractunlabeled
Know when your numbers are significant
2013· article· en· The Forestry Chronicle· Mathematics
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
3
citations
affvenueunlabeled
On buds man
G. R. Powell
2008· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
Valuing multiple forest outputs
Van Lantz
2008· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About