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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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Biofuel production and bioconversion
Retraction
Abstract
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Study design
Label agreement
Label status

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.

2,047 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,047 works in the cohort · of 4,299,418page 28 of 41

Labels cover 10 of 2,047 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 2,047 of 2,047 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
Biomass carbonization and torrefaction
Prabir Basu, Priyanka Kaushal
2023· book-chapter· en· Elsevier eBooks· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Evolution and Application of Biofuels
Jie Zhang, Zheru Wang, Danyan Ding, Yeping Han
2023· article· en· Journal of Energy Bioscience· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
10.51847/btXpsFK
Uma Addepally, Radhika Konakalla, Baby Rani G, Prakasham R.S, P. Srinivasarao, Umakanth A.V
2000· article· en· Time to knit· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
4
citations
venueno affunlabeled
Research and Prospect of Food Fuels Issues
Jiayao Zhou, Zheru Wang, Danyan Ding, Chuchu Liu
2023· article· en· Journal of Energy Bioscience· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Ethanol Fuel Production: Yeast Processes
W. M. Ingledew
2009· other· en· Encyclopedia of Industrial Biotechnology· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Lignocellulosic Biomass
Thierry Ghislain, Xavier Duret, Papa Niokhor Diouf, Jean‐Michel Lavoie
2020· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Bringing trees into the fuel line
Brian E. Ellis
2012· article· en· New Phytologist· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
U.S. Pellet Industry Overview
Patrick Lamers
2017· report· en· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Production and Processing of the Enzymes from Lignocellulosic Biomass
Carlos S. Osorio‐González, Mona Chaali, Krishnamoorthy Hegde, Satinder Kaur Brar, Azadeh Kermanshahi‐pour, Antonio Avalos Ramírez
2020· book-chapter· en· Green energy and technology· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
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