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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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IEEE Transactions on Knowledge and Data Engineering
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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
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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.

120 results · 1 filter active ·
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20012025
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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.
120 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 120 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 120 of 120 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
Detecting Word Substitutions in Text
SzeWang Fong, Dmitri Roussinov, David B. Skillicorn
2008· article· en· IEEE Transactions on Knowledge and Data Engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
The presumed-either two-phase commit protocol
Gopi K. Attaluri, Kenneth Salem
2002· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Group-Based Skyline for Pareto Optimal Groups
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu
2019· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Clearing Contamination in Large Networks
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
2016· article· en· IEEE Transactions on Knowledge and Data Engineering· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Low-Rank Linear Embedding for Robust Clustering
Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue
2022· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
A Survey of Change Point Detection in Dynamic Graphs
Shang Gao, Dandan Guo, Xiaohui Wei, Jon Rokne, Hui Wang
2024· article· en· IEEE Transactions on Knowledge and Data Engineering· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Efficient Cluster Labeling for Support Vector Clustering
Vincent D'Orangeville, M. Andre Mayers, Mattia Monga, M. Shengrui Wang
2013· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Efficient queries over Web views
Giansalvatore Mecca, Alberto O. Mendelzon, Paolo Merialdo
2002· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Self-Healing Event Logs
Wei Song, Hans‐Arno Jacobsen, Pengcheng Zhang
2019· article· en· IEEE Transactions on Knowledge and Data Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
afffundaboutunlabeled
Paywall Policy Learning in Digital News Media
Heidar Davoudi, Zana Rashidi, Aijun An, Morteza Zihayat, Gordon Edall
2020· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
Hiding From Centrality Measures: A Stackelberg Game Perspective
Marcin Waniek, Jan Woźnica, Kai Zhou, Yevgeniy Vorobeychik, Tomasz Michalak, Talal Rahwan
2023· article· en· IEEE Transactions on Knowledge and Data Engineering· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About