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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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Innovative Microfluidic and Catalytic Techniques Innovation
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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.

1,018 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.
1,018 works in the cohort · of 4,299,418page 1 of 21

Labels cover 1 of 1,018 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 1,018 of 1,018 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Megapixel digital PCR
Kevin A. Heyries, Carolina Tropini, Michael VanInsberghe, C. Doolin, Oleh I. Petriv, Anupam Singhal +3 more
2011· article· en· Nature Methods· Engineering
distilled prediction:candidate · noneconsensus · none
309
citations
affunlabeled
Continuous Microfluidic Reactors for Polymer Particles
Minseok Seo, Zhihong Nie, Shengqing Xu, Michelle M. Mok, Patrick C. Lewis, Robert Graham +1 more
2005· article· en· Langmuir· Engineering
distilled prediction:candidate · noneconsensus · none
248
citations
afffundunlabeled
Data-science driven autonomous process optimization
Melodie Christensen, Lars P. E. Yunker, Folarin Adedeji, Florian Häse, Loı̈c M. Roch, Tobias Gensch +5 more
2021· article· en· Communications Chemistry· Engineering
distilled prediction:candidate · noneconsensus · none
229
citations
afffundunlabeled
Deep Learning with Microfluidics for Biotechnology
Jason Riordon, Dušan Sovilj, Scott Sanner, David Sinton, Edmond W. K. Young
2018· review· en· Trends in biotechnology· Engineering
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
218
citations
afffundunlabeled
ChemOS: Orchestrating autonomous experimentation
Loı̈c M. Roch, Florian Häse, Christoph Kreisbeck, Teresa Tamayo-Mendoza, Lars P. E. Yunker, Jason E. Hein +1 more
2018· review· en· Science Robotics· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
177
citations
affunlabeled
Droplet-based microfluidics in biomedical applications
Leyla Amirifar, Mohsen Besanjideh, Rohollah Nasiri, Amir Shamloo, Fatemeh Nasrollahi, Natan Roberto de Barros +12 more
2021· review· en· Biofabrication· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
168
citations
affunlabeled
3D printed modules for integrated microfluidic devices
Kyoung G. Lee, Kyun Joo Park, Seunghwan Seok, Seunghui Shin, Do Hyun Kim, Jung Youn Park +3 more
2014· article· en· RSC Advances· Engineering
distilled prediction:candidate · noneconsensus · none
163
citations

How this was built: Screen · Findings · About