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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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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.

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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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 194 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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.

affno abstractunlabeled
Automatic Strategy Verification for Hex
Ryan Hayward, Broderick Arneson, Philip Henderson
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Lagrangian Hashing for Compressed Neural Field Representations
Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun +3 more
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Advances in Cryptology – EUROCRYPT 2025
2025· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Complexity of Data-Free Nfer
Sean Kauffman, Kim G. Larsen, Martín Zimmermann
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Distributed XML Query Processing
M. TAMER ÖZSU, Patrick Kling
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Verifying Verified Code
Siddharth Priya, Xiang Zhou, Yusen Su, Yakir Vizel, Yuyan Bao, Arie Gurfinkel
2021· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Property Directed Self Composition
Ron Shemer, Arie Gurfinkel, Sharon Shoham, Yakir Vizel
2019· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Form-Based Semantic Caching on Time Series
Trung-Dung Le, Verena Kantere, Laurent d’Orazio
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On the Semantics of Conditional Commitment
Shakil M. Khan, Yves Lespérance
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
TerpTube: A Signed Language Mentoring Management System
Deborah I. Fels, Daniel Roush, Paul Church, Martin Gerdzhev, Tara Stevens, Ellen S. Hibbard
2014· book-chapter· en· Lecture notes in computer science· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Panel Discussion: How Will Media Distribution Work in the Internet?
Andrew Campbell, Carsten Griwodz, Joerg Liebeherr, Dwight Makaroff, Andreas Mauthe, Giorgio Ventre +1 more
2001· book-chapter· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About