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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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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.

2,034 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.
2,034 works in the cohort · of 4,299,418page 8 of 41

Labels cover 13 of 2,034 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 2,034 of 2,034 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
Expectation Maximization
Peyman Setoodeh, Saeid Habibi, S. Haykin
2022· other· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Computational Science and Its Applications - ICCSA 2006
Marina L. Gavrilova, David Taniar, Youngsong Mun, Antonio Laganà, Vipin Kumar, Osvaldo Gervasi +1 more
2006· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Transactions on Computational Science XXVII
Marina L. Gavrilova, C.J. Kenneth Tan
2016· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Compiler Provenance Attribution
Saed Alrabaee, Mourad Debbabi, Paria Shirani, Lingyu Wang, Amr Youssef, Ashkan Rahimian +4 more
2020· book-chapter· en· Advances in information security· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
(Re)Use of Research Results (Is Rampant)
María Teresa Baldassarre, Neil Ernst, Ben Hermann, Tim Menzies, Rahul Yedida
2023· article· en· Communications of the ACM· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
5
citations
fundno affno abstractunlabeled
Computational science for a better future
Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszyński, Dieter Kranzlmüller, Jack Dongarra, P.M.A. Sloot
2022· article· en· Journal of Computational Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
fundno affunlabeled
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
Julia Kaltenborn, Charlotte Emilie Elektra Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda +3 more
2023· preprint· en· elib (German Aerospace Center)· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
MavSec: A safer version of MavLink
Chongju Mai, Anwar Haque
2024· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Foundations of Fine-Grained Explainability
Sylvain Hallé, Hugo Tremblay
2021· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
CMU-LTI at KBP 2016 Event Nugget Track.
Zhengzhong Liu, Jun Araki, Teruko Mitamura, Eduard Hovy
2016· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
afffundunlabeled
bioSyntax: syntax highlighting for computational biology
Artem Babaian, Anicet Ebou, Alyssa Fegen, Jeffrey Kam, Gherman Novakovsky, Jasper Wong +2 more
2018· article· en· BMC Bioinformatics· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
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How this was built: Screen · Findings · About