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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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Advanced Data Storage Technologies
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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.

585 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.
585 works in the cohort · of 4,299,418page 3 of 12

Labels cover 0 of 585 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 585 of 585 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
NAND Flash Memory Revolution
S. Aritome
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
The Art of Latency Hiding in Modern Database Engines
Kaisong Huang, Tianzheng Wang, Qingqing Zhou, Qingzhong Meng
2023· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Making Address-Correlated Prefetching Practical
Thomas F. Wenisch, Michael Ferdman, Anastasia Ailamaki, Babak Falsafi, Andreas Moshovos
2010· article· en· IEEE Micro· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Parallax
Dutch T. Meyer, Gitika Aggarwal, Brendan Cully, Geoffrey Lefebvre, Michael J. Feeley, Norman C. Hutchinson +1 more
2008· article· en· ACM SIGOPS Operating Systems Review· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Enumerating Some Fractional Repetition Codes
Srijan Anil, Manish K. Gupta, T. Aaron Gulliver
2013· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
fundno affunlabeled
DEX: Self-Healing Expanders
Gopal Pandurangan, Peter Robinson, Amitabh Trehan
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
An analysis of data corruption in the storage stack
Lakshmi N. Bairavasundaram, Garth R. Goodson, Bianca Schroeder, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dussea
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
ROADM Subsystems & Technologies
B.P. Keyworth
2005· article· en· Optical Fiber Communication Conference· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Simulating the dynamics of auroral phenomena
Gladimir V. G. Baranoski, Justin W. L. Wan, Jon Rokne, Ian E. Bell
2005· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
Allocation for Heterogeneous Storage Nodes
Moslem Noori, Masoud Ardakani
2015· article· en· IEEE Communications Letters· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
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