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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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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.

680 results · 1 filter active ·
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20002025
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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.
680 works in the cohort · of 4,299,418page 10 of 14

Labels cover 0 of 680 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 680 of 680 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.

venueno affunlabeled
Cosheafification
Andrei V. Prasolov
2016· article· en· Theory and applications of categories· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
The ijk System for EAL at TAC KBP 2016 Event Track.
Qifan Yang, Yuzhong Huang, Leiguang Hao, Siliang Tang, Fei Wu
2016· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
ZJU Participation in TAC 2016 EDL task.
Ning Zhang, Hongliang Dai, Siliang Tang, Fei Wu, Yueting Zhuang
2016· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Metric Spaces of Extreme Points
Ernie Manes
2020· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Panorama: BBN participation in SM-KBP 2018.
Ilana Heintz, Roger Bock, Clay Riley, Joshua Fasching, Sancar Adali, Fred Bernardin +4 more
2018· article· en· Theory and applications of categories· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
How large are left exact functors?
Jiřı́ Adámek, Vácłav Koubek, Věra Trnková
2001· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
UCD IIRG at TAC KBP 2013
Lorna Byrne, Caroline Fenlon, John Dunnion
2013· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
BIT at TAC 2013 Slot Filler Validation Track.
Rongyue Mei, Chunxia Zhang, Zhendong Niu, Sheng Xu, Junjiang Zhang, Hongping Fu
2013· article· en· Theory and applications of categories· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Colimits of monoids
Hans-E. Porst
2019· preprint· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Right Delocalization of Model Categories
Bruce R. Corrigan-Salter
2016· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Cornell Belief and Sentiment System at TAC 2017.
Kai Sun, Claire Cardie
2017· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundvenueno affunlabeled
Categories of weak fractions
Pierre-Alain Jacqmin
2019· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Enlargements of Categories
Lars Brünjes, Christian Serpé
2005· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A note on images of cover relations
James Richard Andrew Gray
2022· preprint· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Decorated corelations
Brendan Fong
2018· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
On strong homotopy for quasi-schemoids
Katsuhiko Kuribayashi
2015· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Non-pointed abelian categories
Arnaud Duvieusart, Sandra Mantovani, Andrea Montoli
2022· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Weak vertical composition
Eugenia Cheng, Alexander S. Corner
2024· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Monadic approach to Galois descent and cohomology
Francis Borceux, S. Caenepeel, George Janelidze
2010· preprint· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Free A_∞-categories
Volodymyr Lyubashenko, Oleksandr Manzyuk
2006· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
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