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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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Microfluidic and Bio-sensing Technologies
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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.

1,026 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.
1,026 works in the cohort · of 4,299,418page 1 of 21

Labels cover 0 of 1,026 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 1,026 of 1,026 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
Using buoyant mass to measure the growth of single cells
Michel Godin, Francisco Feijó Delgado, Sungmin Son, William H. Grover, Andrea K. Bryan, Amit Tzur +5 more
2010· article· en· Nature Methods· Engineering
machine prediction:candidate · noneconsensus · none
405
citations
affunlabeled
Microfluidic impedance‐based flow cytometry
Karen C. Cheung, Marco Di Berardino, Grit Schade‐Kampmann, Monika Hebeisen, Arkadiusz Pierzchalski, József Bocsi +2 more
2010· review· en· Cytometry Part A· Engineering
machine prediction:candidate · noneconsensus · none
261
citations
fundno affunlabeled
Molecular Engineering of Acoustic Protein Nanostructures
Anupama Lakshmanan, Arash Farhadi, Suchita P. Nety, Audrey Lee‐Gosselin, Raymond W. Bourdeau, David Maresca +1 more
2016· article· en· ACS Nano· Engineering
machine prediction:candidate · noneconsensus · none
175
citations
affunlabeled
Micro- and nanotechnology in cell separation
Milica Radisic, R. Iyer, Shashi K. Murthy
2006· review· en· International Journal of Nanomedicine· Engineering
machine prediction:candidate · noneconsensus · none
132
citations
affunlabeled
Three-Dimensional Rotation of Mouse Embryos
Clement H. C. Leung, Zhe Lu, Xuping Zhang, Yu Sun
2012· article· en· IEEE Transactions on Biomedical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
118
citations
affunlabeled
Instrumentation for Chemical Cytometry
Sergey N. Krylov, Dieter A. Starke, Edgar A. Arriaga, Zheru Zhang, Nora W. C. Chan, Monica M. Palcic +1 more
2000· article· en· Analytical Chemistry· Engineering
machine prediction:candidate · noneconsensus · none
116
citations
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