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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 33 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
Roman Domination over Some Graph Classes
Mathieu Liedloff, Ton Kloks, Jiping Liu, Sheng‐Lung Peng
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Minimum Cost Homomorphisms to Reflexive Digraphs
Arvind Gupta, Pavol Hell, Arash Rafiey
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Generic Middleware Substrate Through Modelware
Charles Zhang, Dapeng Gao, Hans‐Arno Jacobsen
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Lexicon Based Ontology Construction
Karin Breitman, Julio César Sampaio do Prado Leite
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Partially Supervised Learning
Friedhelm Schwenker, Edmondo Trentin
2012· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Automatic Theorem-Proving in Combinatorics on Words
Daniel Goč, Dane Henshall, Jeffrey Shallit
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Resolving Conflicts in Authorization Delegations
Chun Ruan, Vijay Varadharajan
2002· book-chapter· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Cluster-Based Cumulative Ensembles
Hanan Ayad, Mohamed S. Kamel
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Information Preservation in XML-to-Relational Mappings
Denilson Barbosa, Juliana Freire, Alberto O. Mendelzon
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Compensable WorkFlow Nets
Fazle Rabbi, Hao Wang, Wendy MacCaull
2010· book-chapter· en· Lecture notes in computer science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Securing Internet-of-Things
Guang Gong
2019· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
An Object-Based Method for Rician Noise Estimation in MR Images
Pierrick Coupé, José V. Manjón, Elias Gedamu, Douglas L. Arnold, Montserrat Robles, D. Louis Collins
2009· article· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
*-Minimax Performance in Backgammon
Thomas G. Hauk, Michael Buro, Jonathan Schaeffer
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
3D Head Trajectory Using a Single Camera
Caroline Rougier, Jean Meunier
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Immersed Visual Data Mining: Walking the Walk
Ayman Ammoura, Osmar R. Zai͏̈ane, Yuan Ji
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Formalizing Undefinedness Arising in Calculus
William M. Farmer
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Dictionary Learning in Texture Classification
Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations

How this was built: Screen · Findings · About