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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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Microbial Biotechnology
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Retraction
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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.

94 results · 1 filter active ·
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20072025
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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.
94 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 94 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 94 of 94 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.

affunlabeled
Microbes Saving Lives and Reducing Suffering
Kenneth N. Timmis, Zeynep Ceren Karahan, Juan L. Ramos, Omry Koren, Ana Elena Pérez‐Cobas, Karen F. Steward +21 more
2025· editorial· en· Microbial Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Mining bacterial genomes for novel arylesterase activity
Lijun Wang, Valentina Mavisakalyan, Elisabeth R.M. Tillier, Greg Clark, Alexei Savchenko, Alexander F. Yakunin +1 more
2010· article· en· Microbial Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Dismantling the bacterial virulence program
Morgan A. Alford, Daniel Pletzer, Robert E. W. Hancock
2019· article· en· Microbial Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Concepts and criteria defining emerging microbiome applications
Tanja Kostić, Michael Schloter, Paulo Arruda, Gabriele Berg, Trevor C. Charles, Paul D. Cotter +12 more
2024· article· en· Microbial Biotechnology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Editorial preface
Willy Verstraete, Nico Boon, Tom Van de Wiele, Siegfried E. Vlaeminck
2012· article· en· Microbial Biotechnology· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
The plant microbiome in biotechnology
Lawrence P. Wackett
2016· article· en· Microbial Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Applied metagenomics
Lawrence P. Wackett
2013· article· en· Microbial Biotechnology· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About