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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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Peatlands and Wetlands Ecology
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,926 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.
2,926 works in the cohort · of 4,299,418page 26 of 59

Labels cover 1 of 2,926 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 2,926 of 2,926 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.

fundaboutno affunlabeled
Wildfire Impacts on Peatland Ecohydrology
Dan K. Thompson
2012· dissertation· en· MacSphere (McMaster University)· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Comment on: “A novel approach to peatlands as archives of total cumulative spatial pollution loads from atmospheric deposition of airborne elements complementary to EMEP data: Priority pollutants (Pb, Cd, Hg)” by Ewa Miszczak, Sebastian Stefaniak, Adam Michczyński, Eiliv Steinnes and Irena Twardowska
François De Vleeschouwer, Sandrine Baron, Joanna M. Cloy, Maxime Enrico, Vojtěch Ettler, Nathalie Fagel +21 more
2020· letter· en· The Science of The Total Environment· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About