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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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Advanced Database Systems and Queries
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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.

1,036 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.
1,036 works in the cohort · of 4,299,418page 5 of 21

Labels cover 2 of 1,036 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 1,036 of 1,036 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
LittleD
Graeme Douglas, Ramon Lawrence
2014· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
16
citations
affno abstractunlabeled
Tree Multivalued Dependencies for XML Datasets
Lawrence V. Saxton, Xiqun Tang
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Change Propagation Without Joins
Qichen Wang, Xiao Hu, Binyang Dai, Ke Yi
2023· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Data visualization on web-based OLAP
Tim I-Hsuan Hsiao, Wo-Shun Luk, Stephen Petchulat
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Simulation of hidden Markov models with EXCEL
W. H. Laverty, M. J. Miket, I. W. Kelly
2002· article· en· Journal of the Royal Statistical Society Series D (The Statistician)· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Inferring event stream abstractions
Sean Kauffman, Klaus Havelund, Rajeev Joshi, Sebastian Fischmeister
2018· article· en· Formal Methods in System Design· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
ConvRel
Angela Cristina Duta, Ken Barker, Reda Alhajj
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Query Rewrites with Views for XML in DB2
Parke Godfrey, Jarek Gryz, A. Hoppe, Wenbin Ma, Calisto Zuzarte
2009· article· en· Proceedings - International Conference on Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
Optimizing Druid with Roaring bitmaps
Samy Chambi, Daniel Lemire, Robert Godin, Kamel Boukhalfa, Charles R. Allen, Fangjin Yang
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
GPX-matcher
Mohammad Sadoghi, Ioana Burcea, Hans‐Arno Jacobsen
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Extending IDEF1X to model fuzzy data
Zongmin Ma, Wenjun Zhang, Weiyin Ma
2002· article· en· Journal of Intelligent Manufacturing· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Efficient, Effective and Flexible XML Retrieval Using Summaries
M. S. Ali, Mariano P. Consens, Xin Gu, Yaron Kanza, Flavio Rizzolo, Raquel Kolitski Stasiu
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Configuring buffer pools in DB2 UDB
Xiaoyi Xu, Patrick Martin, Wendy Powley
2002· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Electronic Data Capture
University Research Chair
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Mapgraph
Todd Eavis, Ahmad Taleb
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations

How this was built: Screen · Findings · About