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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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Advanced biosensing and bioanalysis techniques
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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.

3,223 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.
3,223 works in the cohort · of 4,299,418page 6 of 65

Labels cover 4 of 3,223 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 3,223 of 3,223 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.

fundno affunlabeled
Effective design principles for leakless strand displacement systems
Boya Wang, Chris Thachuk, Andrew D. Ellington, Erik Winfree, David Soloveichik
2018· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
134
citations
afffundunlabeled
Programmable DNA switches and their applications
Scott G. Harroun, Carl Prévost-Tremblay, Dominic Lauzon, Arnaud Desrosiers, Xiaomeng Wang, Liliana Pedro +1 more
2018· review· en· Nanoscale· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
128
citations
afffundno abstractunlabeled
Recent advances in DNA nanotechnology
Pongphak Chidchob, Hanadi F. Sleiman
2018· review· en· Current Opinion in Chemical Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
128
citations
afffundunlabeled
Ultrasensitive assays for proteins
Hongquan Zhang, Qiang Zhao, Xing‐Fang Li, X. Chris Le
2007· review· en· The Analyst· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
126
citations
affunlabeled
Fluorescent Nanobiosensors for Sensing Glucose
Longyi Chen, Eugene Hwang, Jin Zhang
2018· review· en· Sensors· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
126
citations
affno abstractunlabeled
A unique and universal molecular barcode array
Sarah E. Pierce, Eula Fung, Daniel F. Jaramillo, Angela Chu, Ronald W. Davis, Corey Nislow +1 more
2006· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
121
citations
afffundunlabeled
Nanomedicine 2.0
Warren C. W. Chan
2017· article· en· Accounts of Chemical Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
121
citations

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