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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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Forest Management and Policy
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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
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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.

2,661 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.
2,661 works in the cohort · of 4,299,418page 48 of 54

Labels cover 7 of 2,661 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 2,661 of 2,661 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
Forest sustainability in America
Anne M. Weston, Richard T. Falton
2012· book· en· Nova Science Publishers eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Office National des Forêts
2013· article· fr· Manitoba medical review· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Strategy migration in a changing climate
Carter Roberts
2014· article· en· Harvard business review· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Чистая приведенная стоимость как индикатор экономической эффективности в лесном хозяйстве
Шальнев Андрей Сергеевич, Дегтев Вячеслав Васильевич
2015· article· ru· Вестник Томского государственного педагогического университета· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Universal Forest Products Inc.
2008· article· en· Mergent s Dividend Achievers· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Forest Policy: Theory and Application
N. E. Antonova
2010· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Harvesting in two-species models
Fred Brauer, Carlos Castillo‐Chávez
2001· book-chapter· en· Texts in applied mathematics· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
New Turns in Forest Glades
Gordon Molhoj
2011· article· en· Divergent/Convergent· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Are Some Forestry Problems Too Wicked?
John L. Innes, William Nikolakis
2020· book-chapter· en· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
G. Cornells van Kooten
2007· book-chapter· en· University of British Columbia Press eBooks· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Canada - a new partner for Polish wood industry.
R. Gruszczyński, S. Krzosek, Teresa Kłosińska
2017· article· en· Annals of WULS Forestry and Wood Technology· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About