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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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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.

594 results · 1 filter active ·
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20012025
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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.
594 works in the cohort · of 4,299,418page 2 of 12

Labels cover 0 of 594 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 594 of 594 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
Intelligent image-activated cell sorting 2.0
Akihiro Isozaki, Hideharu Mikami, Hiroshi Tezuka, Hiroki Matsumura, Kangrui Huang, Marino Akamine +40 more
2020· article· en· Lab on a Chip· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
142
citations
affunlabeled
AI on a chip
Akihiro Isozaki, Jeffrey Harmon, Yuqi Zhou, Shuai Li, Yuta Nakagawa, Mika Hayashi +3 more
2020· review· en· Lab on a Chip· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
142
citations
affunlabeled
Maze exploration and learning in C. elegans
Jianhua Qin, Aaron R. Wheeler
2006· article· en· Lab on a Chip· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
140
citations
afffundunlabeled
Parallel microfluidic surface plasmon resonance imaging arrays
Éric Ouellet, Christopher Lausted, Tao Lin, Cheng Wei Tony Yang, Leroy Hood, Eric T. Lagally
2010· article· en· Lab on a Chip· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
131
citations
afffundunlabeled
A digital microfluidic electrochemical immunoassay
Mohtashim H. Shamsi, Kihwan Choi, Alphonsus H. C. Ng, Aaron R. Wheeler
2013· article· en· Lab on a Chip· Engineering
machine prediction:candidate · noneconsensus · none
126
citations
afffundunlabeled
A digital microfluidic method for dried blood spot analysis
Mais J. Jebrail, Hao Yang, Jared M. Mudrik, Nelson M. Lafrenière, Christine McRoberts, Osama Y. Al-Dirbashi +3 more
2011· article· en· Lab on a Chip· Engineering
machine prediction:candidate · noneconsensus · none
119
citations

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