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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.

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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
Topic
Retraction
Abstract
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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
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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.

1,689 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.
1,689 works in the cohort · of 4,299,418page 29 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
Personals / Carrière et emploi
2007· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Progrès dans l’application de la télédétection pour les besoins en matière d’information sur les forêts au Canada : leçons tirées d’une collaboration nationale d’intervenants universitaires, industriels et gouvernementaux
Nicholas C. Coops, Alexis Achim, Paul A. Arp, Christopher W. Bater, John P. Caspersen, Jean‐François Côté +17 more
2021· article· fr· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Author Index / Index des auteurs
2006· article· fr· The Forestry Chronicle· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Tributes / Hommages
2008· article· it· The Forestry Chronicle· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Sir Sanford Fleming
Ed Morrice, Katharine van der Jagt, Melissa Meneghetti, Nicole Bergevin
2012· article· en· The Forestry Chronicle· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Model Forest News
2002· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Dare to share your information!
Trina Innes
2002· article· en· The Forestry Chronicle· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Meetings / Réunions
2002· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affno abstractunlabeled
Ottawa Valley / Rocky Mountain / Cariboo
2014· article· en· The Forestry Chronicle· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Institute Affairs
2002· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
PERSPECTIVE
2000· article· en· The Forestry Chronicle
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Book Reviews / Revue de livres
Erik Meijaard, Douglas Sheil, Robert Nasi, David Augeri, Barry Rosenbaum, Djoko Iskander +7 more
2006· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Section News / Nouvelles des sections
2006· article· fr· The Forestry Chronicle· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Aboriginal Forestry News
2003· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
EDITORIAL / ÉDITORIAL
2004· article· fr· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
The <i>Forestry Chronicle</i> at 100!
Peter Marshall
2025· article· en· The Forestry Chronicle· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Perspective
2011· article· en· The Forestry Chronicle
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
To Speak for the Trees
2019· article· en· The Forestry Chronicle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Perspective
2008· article· en· The Forestry Chronicle
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Aboriginal Forestry News
2003· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Section Orléans, Lake of the Woods
2013· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Personals/Carrière et emploi
2000· article· fr· The Forestry Chronicle· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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