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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.

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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 34 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
Advances in Data and Web Management
2009· book· 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
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
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
affno abstractunlabeled
Rediscovering *-Minimax Search
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
Cell Suppression: Experience and Theory
Dale Robertson, Richard Ethier
2002· book-chapter· en· Lecture notes in computer science· Business, Management and Accounting
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
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
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
fundno affno abstractunlabeled
Advances in Information Retrieval
2024· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Interactive Segmentation with Super-Labels
Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov
2011· article· 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
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
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
affno abstractunlabeled
Rethinking Closed-Loop Training for Autonomous Driving
Wenjun Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu +2 more
2022· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Reversals of Fortune
David Sankoff, Chungfang Zheng, Aleksander Lenert
2005· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Multiple Viewpoint Recognition and Localization
Scott Helmer, David Meger, Marius Muja, James J. Little, David Lowe
2011· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
21
citations
fundno affunlabeled
The OpenCitations Data Model
Marilena Daquino, Silvio Peroni, David M. Shotton, Giovanni Colavizza, Behnam Ghavimi, Anne Lauscher +3 more
2020· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · bibliometrics+scholarly_communicationconsensus · 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
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