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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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Sparse and Compressive Sensing Techniques
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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
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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.

892 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.
892 works in the cohort · of 4,299,418page 3 of 18

Labels cover 1 of 892 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 892 of 892 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
Complex singular wishart matrices and applications
Tharmalingam Ratnarajah, Rémi Vaillancourt
2005· article· en· Computers & Mathematics with Applications· Engineering
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
PAC-Bayesian Bounds based on the Rényi Divergence
Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy
2016· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
machine prediction:candidate · noneconsensus · none
43
citations
affno abstractunlabeled
Nonnegative Matrix Factorization
Ke-Lin Du, M.N.S. Swamy
2019· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Algorithm 890
E. van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Özgür Yılmaz
2009· article· en· ACM Transactions on Mathematical Software· Engineering
machine prediction:candidate · noneconsensus · none
35
citations
afffundunlabeled
Generalization bounds for sparse random feature expansions
Abolfazl Hashemi, Hayden Schaeffer, Bobby Shi, Ufuk Topcu, Giang Tran, Rachel Ward
2022· article· en· Applied and Computational Harmonic Analysis· Engineering
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Compressive Seismic Imaging
Charles C. Mosher, Erik Keskula, Sam T. Kaplan, Robert G. Keys, Chengbo Li, Elias Ata +6 more
2012· article· en· Engineering
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
In Pursuit of a Root
E. van den Berg, Michael P. Friedlander
2007· article· en· Engineering
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Block-Based CS in a CMOS Image Sensor
Mohammadreza Dadkhah, Shahram Shirani
2012· article· en· IEEE Sensors Journal· Engineering
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Channel estimation using DPSS based frames
Ervin Sejdić, Marco Luccini, Serguei Primak, Kareem E. Baddour, T.J. Willink
2008· article· en· Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing· Engineering
machine prediction:candidate · noneconsensus · none
31
citations

How this was built: Screen · Findings · About