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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
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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 6 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
The essence of XML
Jérǒme Simèon, Philip Wadler
2003· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
On querying spreadsheets
Laks V. S. Lakshmanan, S. Subramanian, Navin Goyal, R. Krishnamurthy
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
fundno affunlabeled
Generating Reproducible Out-of-Order Data Streams
Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
fpga-ToPSS
Mohammad Sadoghi, Harsh Vikram Singh, Hans‐Arno Jacobsen
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
OLAP dimension constraints
Carlos Hurtado, Alberto O. Mendelzon
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Merging of XML Documents
Wanxia Wei, Mengchi Liu, Shijun Li
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
ConnectorX
Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu +6 more
2022· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
DSP: Schema Design for Non-Relational Applications
Abdullahi Abubakar Imam, Shuib Basri, Rohiza Ahmad, Amirudin A. Wahab, María Teresa González-Aparicio, Luiz Fernando Capretz +2 more
2020· article· en· Symmetry· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
XML algebras for data mining
Ming Zhang, JingTao Yao
2004· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Resource Profiles
Stephen Downes
2004· article· en· Journal of Interactive Media in Education· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
10
citations
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