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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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Parallel Computing and Optimization 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.

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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.

2,094 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.
2,094 works in the cohort · of 4,299,418page 17 of 42

Labels cover 1 of 2,094 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 2,094 of 2,094 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
Combined profiling
Paul Berube, Adam Preuss, José Nelson Amaral
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Instruction visibility in SPEC CPU2017
Andrei Rimsa, José Nelson Amaral, Fernando Magno Quintão Pereira
2021· article· en· Journal of Computer Languages· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Sparse matrices on the web
Prabhjot Sandhu, David Herrera, Laurie Hendren
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Parallelism in Ada
Brad Moore, Stephen Michell, Luís Miguel Pinho
2013· article· en· ACM SIGAda Ada Letters· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Born-Open Data for jsPsych
Denis Cousineau
2021· preprint· en· Computer Science
machine prediction:candidate · open_scienceconsensus · none
6
citations
afffundunlabeled
MIX10
Vineet Kumar, Laurie Hendren
2014· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
A Case Study in Reverse Engineering GPGPUs
Ahmad Lashgar, Ebad Salehi, Amirali Baniasadi
2016· article· en· ACM SIGARCH Computer Architecture News· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
On the Determinism of Multi-core Processors
Vladimir‐Alexandru Paun, Bruno Monsuez, Philippe Baufreton
2013· preprint· en· DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
GPUPool
Xiaodan Serina Tan, Pavel Golikov, Nandita Vijaykumar, Gennady Pekhimenko
2022· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About