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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 207 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
Improving Search in Go Using Bounded Static Safety
Owen Randall, Ting-Han Wei, Ryan Hayward, Martin Müller
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Porting OMTTs to CORBA
Raul Silaghi, Alfred Strohmeier, Jörg Kienzle
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Matrix Rationalization via Partial Orders
Agnès Totschnig, Rohit Vasishta, Adrian Vetta
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Multilayer Artificial Benchmark for Community Detection (mABCD)
Piotr Bródka, Michał Czuba, Bogumił Kamiński, Łukasz Kraiński, Paweł Prałat, François Théberge
2025· book-chapter· en· Lecture notes in computer science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Improved Outerplanarity Bounds for Planar Graphs
Thérèse Biedl, Debajyoti Mondal
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Lissy: Experimenting with On-Chain Order Books
Mahsa Moosavi, Jeremy Clark
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Line and Plane Cover Numbers Revisited
Thérèse Biedl, Stefan Felsner, Henk Meijer, Alexander Wolff
2019· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Drawing Planar Graphs with Reduced Height
Stéphane Durocher, Debajyoti Mondal
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Intelligent Conversational Agent for Medical Information
Alexandra Zeltsi, Maria Tsourma, Anastasios Alexiadis, Αthanasios Mavropoulos, Alexandros Zamichos, Valadis Mastoras +6 more
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

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