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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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Numerical methods for differential equations
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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

478 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
478 works in the cohort · of 4,299,418page 1 of 10

Labels cover 1 of 478 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 478 of 478 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.

affunlabeled
The complex-step derivative approximation
Joaquim R. R. A. Martins, Peter Sturdza, Juan J. Alonso
2003· article· en· ACM Transactions on Mathematical Software· Mathematics
machine prediction:candidate · noneconsensus · none
736
citations
affno abstractunlabeled
Behind and beyond the Matlab ODE suite
Ryuichi Ashino, M. Nagase, Rémi Vaillancourt
2000· article· en· Computers & Mathematics with Applications· Mathematics
machine prediction:candidate · noneconsensus · none
153
citations
afffundno abstractunlabeled
Multigrid methods with space–time concurrency
Robert D. Falgout, Stephanie Friedhoff, Tzanio Kolev, Scott MacLachlan, Jacob B. Schroder, Stefan Vandewalle
2017· article· en· Computing and Visualization in Science· Mathematics
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
Differential Equations for Engineers
Wei‐Chau Xie
2010· book· en· Cambridge University Press eBooks· Mathematics
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Partial Differential Equations
Guido De Philippis, Ailana Fraser, Felix Schulze
2024· article· en· Oberwolfach Reports· Mathematics
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Analytical Methods in Nonlinear Oscillations
Ebrahim Esmailzadeh, Davood Younesian, Hassan Askari
2018· book· en· Solid mechanics and its applications· Mathematics
machine prediction:candidate · noneconsensus · none
35
citations
affno abstractunlabeled
Propagation of errors for matrix inversion
2000· article· en· Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment· Mathematics
machine prediction:candidate · noneconsensus · none
35
citations

How this was built: Screen · Findings · About