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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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Algal biology and biofuel production
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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.

1,191 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.
1,191 works in the cohort · of 4,299,418page 17 of 24

Labels cover 5 of 1,191 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 1,191 of 1,191 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
PIGMENTS | Liquid Chromatography
Suzanne Roy
2000· book-chapter· en· Encyclopedia of Separation Science· Energy
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Algae as a bio-feedstock
Kimberly L. Ogden
2014· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Energy
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Adapting Mass Algaculture for a Northern Climate
Jesse McNichol, Patrick J. McGinn
2012· book-chapter· en· Cellular origin and life in extreme habitats· Energy
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Stimulatory effect of aerosil on algal growth
Bogdan I. Gerashchenko, И. И. Геращенко, Toshikazu Kosaka, Hiroshi Hosoya
2002· article· en· Canadian Journal of Microbiology· Energy
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Use of microalgae in animal feeds
Claire Fawcett, Corey A. Laamanen, John A. Scott
2024· book-chapter· en· Elsevier eBooks· Energy
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Cryopreservation of Chlorella vulgaris Using Different Cryoprotectant Agents
Helder Rodrigues da Silva, Francino Costa Palhares da Silva, Cássio Egídio Cavenaghi Prete, Rodrigo Thibes Hoshino, Ricardo Tadeu de Faria, Mário Sérgio Mantovani +1 more
2020· article· en· Journal of Agricultural Science· Energy
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Rapid method for generating designer algal mitochondrial genomes
Ryan R. Cochrane, Stephanie L. Brumwell, Maximillian P. M. Soltysiak, Samir Hamadache, Jennifer G. Davis, Jiayi Wang +4 more
2019· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Energy
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About