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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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Theory and applications of categories
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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
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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 4 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
Levi categories and graphs of groups
Mark V. Lawson, Alistair R. Wallis
2017· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
Cornell Belief and Sentiment System at TAC 2016.
Vlad Niculae, Kai Sun, Xilun Chen, Cheng Yao, Xinya Du, Esin Durmus +2 more
2016· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
CMU-LTI at KBP 2016 Event Nugget Track.
Zhengzhong Liu, Jun Araki, Teruko Mitamura, Eduard Hovy
2016· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
venueno affunlabeled
GLOW TAC-KBP2011 Entity Linking System ⁄
Lev Ratinov Dan Roth
2011· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Lorify: A Knowledge Base from Scratch
Sean Monahan, Dean Carpenter
2012· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundvenueunlabeled
Compositories and Gleaves
Cecilia Flori, T. A. Fritz
2016· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Lax comma 2-categories and admissible 2-functors
Maria Manuel Clementino, Fernando Lucatelli Nunes
2024· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Descent data and absolute Kan extensions
Fernando Lucatelli Nunes
2021· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
The University of Sheffield System at TAC KBP 2010.
YU Jing-tao, Omkar Mujgond, Robert Gaizauskas
2010· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
fundvenueno affunlabeled
Differential Restriction Categories
J.R.B. Cockett, G. S. H. Cruttwell, Jonathan Gallagher
2011· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Double Categories of Relations
Mike Lambert
2022· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Getting Emotional About News.
Alistair Kennedy, Anna Kazantseva, Terry Copeck, Diana Inkpen, Stan Śzpakowicz, Saif M. Mohammad
2011· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Textual Entailment - Fitchburg State College.
Orlando Montalvo-Huhn, Stephen Taylor
2008· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
The UC3M team at the Knowledge Base Population task.
César de Pablo-Sánchez, Juan Perea, Isabel Segura-Bédmar, Paloma Martı́nez
2009· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Biequivalences in tricategories
Nick Gurski
2012· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
CMUML System for KBP 2013 Slot Filling.
Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi +3 more
2013· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
SUMMA at TAC Knowledge Base Population Task 2017.
Afonso Mendes, David Silva Nogueira, Samuel Broscheit, Filipe Aleixo, Pedro Balage, Rui Martins +2 more
2017· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
CatolicaSC at TAC 2011
Paulo C. F. de Oliveira
2011· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
BIT's Slot-Filling Method for TAC-KBP 2013.
Sheng Xu, Chunxia Zhang, Zhendong Niu, Rongyue Mei, Junpeng Chen, Junjiang Zhang +1 more
2013· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
SYDNEY CMCRC at TAC 2013.
Glen Pink, Andrew Naoum, Will Radford, Will Cannings, Joel Nothman, Daniel Tse +1 more
2013· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
venueno affunlabeled
ERSS at TAC 2008
Sylvain Bellemare, Sabine Bergler, René Witte
2008· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Cyclic homology arising from adjunctions
Niels Kowalzig, Ulrich Krähmer, Paul Slevin
2015· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
A logic for categories
Claudio Pisani
2010· preprint· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Classification of Constructible Cosheaves
Justin Curry, Amit Patel
2020· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Descent in monoidal categories
Bachuki Mesablishvili
2012· article· en· Theory and applications of categories· Mathematics
machine prediction:candidate · noneconsensus · none
4
citations

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