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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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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.

2,372 results · 1 filter active ·
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20002025
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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.
2,372 works in the cohort · of 4,299,418page 22 of 48

Labels cover 1 of 2,372 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 2,372 of 2,372 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 RG flow in neural network field theories
J. Howard, Marc S. Klinger, Anindita Maiti, Alexander G. Stapleton
2025· article· en· SciPost Physics Core· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Electrical Laws
Md. Abdus Salam, Quazi Mehbubar Rahman
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Computational Properties of the Prefrontal Cortex
Nandakumar S. Narayanan, James M. Hyman, Jeremy K. Seamans, Erin L. Rich
2025· article· en· Journal of Neuroscience· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Data Acquisition and Recording
Richard E. Thomson, William J. Emery
2024· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Multivariable Calculus
A. M. Mathai, H. J. Haubold
2017· book-chapter· en· Springer optimization and its applications· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Architecture of Deep Learning and Its Applications
Afrah Salman Dawood, Zena Mohammed Faris
2023· article· en· Iraqi Journal of Computer Communication Control and System Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Laplacian-Based Dimensionality Reduction
Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
2023· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Multiple categorization using fuzzy ART
P. Lavoie, Jesús F. Crespo, Yvon Savaria
2002· article· en· Proceedings of International Conference on Neural Networks (ICNN'97)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
BALANCED FUZZY COMPUTING UNIT
Władysław Homenda, Witold Pedrycz
2005· article· en· International Journal of Uncertainty Fuzziness and Knowledge-Based Systems· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Understanding BatchNorm in Ternary Training
Eyyüb Sari, Vahid Partovi Nia
2019· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Deep Neural Maps
Mehran Pesteie, Purang Abolmaesumi, Robert Rohling
2018· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

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