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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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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
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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 9 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
Database publication practices
Philip A. Bernstein, David J. DeWitt, Andreas Heuer, Zachary G. Ives, Christian S. Jensen, Holger Meyer +4 more
2005· article· en· VBN Forskningsportal (Aalborg Universitet)· Computer Science
machine prediction:candidate · metaresearchconsensus · none
6
citations
affunlabeled
Dynamic View Selection for OLAP
Michael A. Lawrence, Andrew Rau‐Chaplin
2008· article· en· International Journal of Data Warehousing and Mining· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Distributed and Parallel Database Design
M. TAMER ÖZSU, Patrick Valduriez
2019· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Join Reordering by Join Simulation
Chaitanya Mishra, Nick Koudas
2009· article· en· Proceedings - International Conference on Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
XML Query Processing and Optimization
Ning Zhang
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
fundno affunlabeled
Open Data Structures: An Introduction
Frank W. Elwell
2013· book· en· Athabasca University Press eBooks· Computer Science
machine prediction:candidate · open_scienceconsensus · none
5
citations
affunlabeled
Wii: Dynamic Budget Reallocation In Index Tuning
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
2024· article· en· Proceedings of the ACM on Management of Data· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Alternative Query Optimization for Workload Management
Zahid Abul-Basher, Yijun Feng, Parke Godfrey, Xiaohui Yu, Mokhtar Kandil, Calisto Zuzarte
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Data stream warehousing
Lukasz Golab, Theodore Johnson
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Supporting capacity planning for DB2 UDB
Hamzeh Zawawy, Patrick Martin, Hossam S. Hassanein
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Object-oriented modeling in Metaview
Yong Zhuang, P. Findeisen, Paul Sorenson
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Partial evaluation of Maple
Jacques Carette, Michael Kucera
2010· article· en· Science of Computer Programming· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Utilizing histogram information
Hai Wang, Ken Sevcik
2001· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
LLS
Samir Mohammad, Patrick Martin
2010· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
RA: An XML Schema Reduction Algorithm.
Angela Cristina Duta, Ken Barker, Reda Alhajj
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
A Strategy for Partial Evaluation of Views
Parke Godfrey, Jarek Gryz
2000· book-chapter· en· Intelligent Information Systems· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Making Designer Schemas with Colors
Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
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