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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 22 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.

venueno affno abstractunlabeled
Some Aspects of our Forestry Problem
2000· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Corporate Sustaining Members, 1999-00
2000· article· en· The Forestry Chronicle· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
You’ve come a Long Way, Baby!
Ron Ayling
2013· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Information Paper / Document d'information
2002· article· en· The Forestry Chronicle· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
National News / Nouvelles nationales
2005· article· en· The Forestry Chronicle· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
afffundvenueaboutunlabeled
Porsild spruce in Canada
Rodney Arthur Savidge
2013· article· en· The Forestry Chronicle· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
EDITORIAL / ÉDITORIAL
V Nordin, T Fenton
2003· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Of Relevance / Question d'Information
Eric Bogle -"
2007· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affno abstractunlabeled
Meetings/Réunions
2001· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affno abstractunlabeled
The forestry class of 1910
2008· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Investment in the Forest
Members of the Registered
2012· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About