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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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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.

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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.

983 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.
983 works in the cohort · of 4,299,418page 1 of 20

Labels cover 3 of 983 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 983 of 983 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.

affno abstractunlabeled
Biodiesel production using a membrane reactor
Marc A. Dubé, André Y. Tremblay, J. Liu
2006· article· en· Bioresource Technology· Engineering
machine prediction:candidate · noneconsensus · none
372
citations
affno abstractunlabeled
Use of biochars in anaerobic digestion
Jan Mumme, Franziska Srocke, Kathrin Heeg, Maja Werner
2014· article· en· Bioresource Technology· Engineering
machine prediction:candidate · noneconsensus · none
350
citations
afffundno abstractunlabeled
Strategies for improving biological hydrogen production
Patrick C. Hallenbeck, Mona Abo-Hashesh, Dipankar Ghosh
2012· review· en· Bioresource Technology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
335
citations
afffundno abstractunlabeled
Dye biosorption sites in Aspergillus niger
Yuzhu Fu, T. Viraraghavan
2002· article· en· Bioresource Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
275
citations
afffundno abstractunlabeled
Algal biofuels: Challenges and opportunities
Gustavo B. Leite, Ahmed E.M. Abdelaziz, Patrick C. Hallenbeck
2013· review· en· Bioresource Technology· Energy
machine prediction:candidate · noneconsensus · none
272
citations
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How this was built: Screen · Findings · About