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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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Advanced Memory and Neural Computing
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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.

991 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.
991 works in the cohort · of 4,299,418page 8 of 20

Labels cover 2 of 991 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 991 of 991 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
Memristor-based 4:2 compressor cells design
Amirali Amirsoleimani, Majid Ahmadi, Mehri Teimoory, Arash Ahmadi
2016· article· en· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Processing in Storage Class Memory.
Joel Nider, Craig Mustard, Andrada Zoltan, Alexandra Fedorova
2020· article· en· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
Extreme neural machines
Megan Boucher-Routhier, Bill Ling Feng Zhang, Jean‐Philippe Thivierge
2021· article· en· Neural Networks· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Associative Memory Networks
Ke-Lin Du, M. N. S. Swamy
2019· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Event-based RGB sensing with structured light
Seyed Ehsan Marjani Bajestani, Giovanni Beltrame
2023· article· en· 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)· Engineering
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Directed Assembly of Nanoparticle Threshold‐Selector Arrays
Maximilian Speckbacher, Michael Rinderle, Waldemar Kaiser, Eiman A. Osman, Domenikos Chryssikos, Anna Cattani‐Scholz +3 more
2019· article· en· Advanced Electronic Materials· Engineering
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About