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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 208 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
Another Virtue of Wavelet Forests
Aaron Hong, Christina Boucher, Travis Gagie, Yansong Li, Norbert Zeh
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Idealness of k-wise Intersecting Families
Ahmad Abdi, Gérard Cornuéjols, Tony Huynh, Dabeen Lee
2020· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Computers and Games
2023· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Selective Search as a First-Stage Retriever
Gijs Hendriksen, Djoerd Hiemstra, Arjen P. de Vries
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Do Subtopic Judgments Reflect Diversity?
John A. Akinyemi, Charles L. A. Clarke
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Extended Policy-Based Sanitizable Signatures
Ismail Afia, Riham AlTawy
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Second Search Futures Workshop at ECIR’25
Charles L. A. Clarke, Paul B. Kantor, Adam Roegiest, Ian Soboroff, Johanne R. Trippas, Zhaochun Ren
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Design of a Virtual Trailblazing Tool
Daniel Iaboni, Carolyn MacGregor
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Task-Based Image Annotation and Retrieval
Dympna O’Sullivan, David C. Wilson, Michela Bertolotto, Eoin McLoughlin
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Posteriori Analysis of Policy Temporal Compliance
Farah Dernaïka, Nora Cuppens-Boulahia, Frédéric Cuppens, Olivier Raynaud
2021· book-chapter· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About