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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 Ecology and Biodiversity Studies
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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.

2,140 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.
2,140 works in the cohort · of 4,299,418page 23 of 43

Labels cover 4 of 2,140 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 2,140 of 2,140 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
Indicators related to moving, 2018, inactive
2019· dataset· en· Statistics Canada Dissemination· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Effects of forest management intensity and climate change severity on volume growth, timber yield, carbon stocks, and the amount of deadwood in Scots pine, Norway spruce, and silver birch stands in boreal conditions
Aaron Petty, Sergei Senko, Harri Strandman, Essi Jyrkinen, Olli‐Pekka Tikkanen, Antti Kilpeläinen +1 more
2024· article· en· Canadian Journal of Forest Research· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
COVID-19, Containment and Consumption
2022· article· en· Econstor (Econstor)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Coarse Woody Debris
Paul A. Keddy
2023· book-chapter· en· Wetlands: ecology, conservation and management· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · 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
aboutno affunlabeled
A future for boreal forests
A. M. Sugden
2016· article· en· Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About