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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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Lecture notes in computational science and engineering
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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.

27 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.
27 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 27 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 27 of 27 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
Domain Decomposition Methods in Science and Engineering XXVI
Susanne C. Brenner, Eric T. Chung, Axel Klawonn, Félix Kwok, Jinchao Xu, Jun Zou
2022· book· en· Lecture notes in computational science and engineering· Engineering
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
GPU-Based Parallel Reservoir Simulators
Zhangxin Chen, Hui Liu, Song Yu, B. R. Hsieh, Lei Shao
2014· book-chapter· en· Lecture notes in computational science and engineering· Engineering
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Domain Decomposition Methods of Stochastic PDEs
Waad Subber, Abhijit Sarkar
2013· book-chapter· en· Lecture notes in computational science and engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Computing Sparse Jacobian Matrices Optimally
Shahadat Hossain, Trond Steihaug
2006· book-chapter· en· Lecture notes in computational science and engineering· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Optimally Convergent Isoparametric $$P^2$$ Mesh Generation
Arthur Bawin, André Garon, Jean‐François Remacle
2024· book-chapter· en· Lecture notes in computational science and engineering· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Domain Decomposition for the Closest Point Method
Ian C. T. May, Ronald D. Haynes, Steven J. Ruuth
2020· preprint· en· Lecture notes in computational science and engineering· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Space-Time Spectral Methods for Linear and Nonlinear PDEs
Avleen Kaur, Shaun Lui, Sarah Nataj, Chandramali Piyasundara Wilegoda Liyanage
2025· book-chapter· en· Lecture notes in computational science and engineering· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Optimized Schwarz Method in Time for Transport Control
Duc-Quang Bui, Bérangère Delourme, Laurence Halpern, Félix Kwok
2024· book-chapter· en· Lecture notes in computational science and engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About