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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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Digital Filter Design and Implementation
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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
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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.

557 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.
557 works in the cohort · of 4,299,418page 10 of 12

Labels cover 0 of 557 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 557 of 557 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
Simple evaluation of squared weight
I.J. Fair, Eddie Carle
2015· article· en· The Journal of Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fast generation of universal maximally flat fir filters
S. Samadi, M. Omair Ahmad, M.N.S. Swamy
2003· article· en· IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Table of Contents
Christian Jutten, Athina P. Petropulu, Min Wu-President-Elect, Ana Pérez-Neira-Vice, Roxana Saint, Kenneth Lam-Vice +15 more
2023· article· en· IEEE Signal Processing Magazine· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Table of Contents
2023· article· en· IEEE Signal Processing Magazine· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Extending Laplace And Z Transform Domains
M.J. Corinthios
2006· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Session TU1E: Filter Theory and Synthesis Techniques
Ming Yu, Sridhar Kanamaluru
2005· article· en· IEEE MTT-S International Microwave Symposium Digest, 2005.· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Optimal Filters in the KLE Domain with Model 4
Jacob Benesty, Jingdong Chen, Yiteng Huang
2011· book-chapter· en· Synthesis lectures on speech and audio processing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Discrete transform approximations for video coding
Diego F. G. Coelho, Vítor de Andrade Coutinho, Thiago L. T. da Silveira, Renato J. Cintra, Fábio M. Bayer, Arjuna Madanayake +1 more
2019· book-chapter· en· Institution of Engineering and Technology eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Delta function of the Fourier transform
Nikolay Parfentyev, Schubert Maignan, I. M. Tkachenko
2024· article· en· E3S Web of Conferences· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About