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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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Gaussian Processes and Bayesian Inference
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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.

309 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.
309 works in the cohort · of 4,299,418page 6 of 7

Labels cover 0 of 309 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 309 of 309 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
Bayesian Koopman Time Series Forecasting
Antonios Valkanas, Theodore Glavas, Boris N. Oreshkin, Mark Coates
2025· article· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Deep learning with Gaussian continuation
Andrew F. Ilersich, Prasanth B. Nair
2024· article· en· Foundations of Data Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mode Effects
Rachel T. Fouladi
2023· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tabaluga noten pdf
2024· other· de· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Bayesian inference with Gaussian errors
Phil Gregory
2005· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Linear-Gaussian Estimation
2024· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Statistically impossible temperatures.
Michael Wehner, Mark D. Risser, Likun Zhang, William R. Boos
2024· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Which Gaussian Process for Bayesian Optimization ?
Rodolphe Le Riche, David Gaudrie, Victor Picheny, Youssef Diouane, Adrien Spagnol, Sébastien da Veiga
2022· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About