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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.

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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.

90 results · 1 filter active ·
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20202025
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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.
90 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 90 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 90 of 90 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.

afffundunlabeled
Attention-based quantum tomography
2021· article· en· Machine Learning Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
fundno affunlabeled
Reducing training data needs with minimal multilevel machine learning (M3L)
Stefan Heinen, Danish Khan, Guido Falk von Rudorff, Konstantin Karandashev, Daniel Jose Arismendi Arrieta, Alastair J. A. Price +4 more
2024· article· en· Machine Learning Science and Technology· Materials Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Neural message passing on high order paths
Daniel Flam-Shepherd, Tony Wu, Pascal Friederich, Alán Aspuru‐Guzik
2021· preprint· en· Machine Learning Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Boost invariant polynomials for efficient jet tagging
Jose M. Muñoz, Ilyes Batatia, Christoph Ortner
2022· article· en· Machine Learning Science and Technology· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
10
citations
fundno affunlabeled
Molecular relaxation by reverse diffusion with time step prediction
Khaled Kahouli, Stefaan S. P. Hessmann, Klaus‐Robert Müller, Shinichi Nakajima, Stefan Gugler, Niklas W. A. Gebauer
2024· preprint· en· Machine Learning Science and Technology· Chemistry
machine prediction:candidate · noneconsensus · none
6
citations
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