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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 131 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
Off-line Evaluation of Recommendation Functions
Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Bob Price
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Generative Framework for Managed Services
Liam Peyton, Arif Rajwani
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Multi-Test Decision Trees for Gene Expression Data Analysis
Marcin Czajkowski, Marek Grześ, Marek Krętowski
2012· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Compression of General Bayesian Net CPTs
Yang Xiang, Qian Jiang
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Generative Model of Dense Optical Flow in Layers
Anitha Kannan, Brendan J. Frey, Nebojša Jojić
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Towards a Grid-Aware Computer Algebra System
Dana Petcu, Diana Dubu, Marcin Paprzycki
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
On Language Decompositions and Primality
Michael Domaratzki, Kai Salomaa
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Dynamic Speech Breathing System for Virtual Characters
Ulysses Bernardet, Sin‐Hwa Kang, Andrew Feng, Steve DiPaola, Ari Shapiro
2017· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Single-Solver Algorithms for 2QBF
Sam Bayless, Alan J. Hu
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Managing Conditional and Composite CSPs
Malek Mouhoub, Amrudee Sukpan
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Envelope Detection of Multi-object Shapes
Naif Alajlan, O. El Badawy, Mohamed S. Kamel, G.H. Freeman
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Evolution of Tandemly Arrayed Genes in Multiple Species
Mathieu Lajoie, Denis Bertrand, Nadia El-Mabrouk
2007· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Foundations and Practice of Security
Joaquín García-Alfaro
2016· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Mining Weighted Frequent Itemsets with the Recency Constraint
Jerry Chun‐Wei Lin, Wensheng Gan, Philippe Fournier‐Viger, Tzung‐Pei Hong
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Reverse Prediction
Julia Johnson, Patrick Campeau
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Characterizing DNA Bond Shapes Using Trajectories
Michael Domaratzki
2006· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About