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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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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
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.

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 50 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
Metsäsektorin suhdannetiedote 2009
2018· other· fi· Jukuri (Natural Resources Institute Finland (Luke))· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ilveskanta Suomessa 2022
2022· other· fi· Jukuri (Luonnonvarakeskus Tietopalvelu)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Forestry School News
2004· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Forestry Management and Production
John L. Innes, Gary Bull
2001· other· en· Encyclopedia of Life Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueaboutunlabeled
Collaboration
Lucille Mazo
2013· article· en· Earth Common Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Competitive forests - tenure revisited.
Tony Rotherham, K. A. Armson
2018· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sustainability and the Canadian Forest Sector
Sven G. Nilsson, M. Gluck
2000· preprint· en· IIASA PURE (International Institute of Applied Systems Analysis)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from HUDSON in the Davis Strait, Labrador Sea and North Atlantic Ocean from 2008-05-20 to 2008-06-04 (NCEI Accession 0108224)
2013· dataset· en· National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About