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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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Computational Physics and Python Applications
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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.

1,060 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.
1,060 works in the cohort · of 4,299,418page 2 of 22

Labels cover 4 of 1,060 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 1,060 of 1,060 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.

aboutno affunlabeled
Digital Currents
Rena Bivens
2014· book· en· University of Toronto Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Differential Calculus for the Life Sciences
Leah Edelstein‐Keshet
2021· article· en· cIRcle (University of British Columbia)· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Two Theorists Never in Doubt
Michael S. Turner
2001· article· en· Physics Today· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Machine Learning in Quantum Sciences
Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Płodzień, Kaelan Donatella +23 more
2025· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
More Java Gems
Dwight Deugo
2000· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
affunlabeled
matplotlib/matplotlib v3.0.3
Thomas A Caswell, Michael Droettboom, John Hunter, Eric Firing, Antony Lee, Jody Klymak +24 more
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
The magnetic pendulum and weather
S. J. D. D’Alessio
2020· article· en· Physics Education· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Recoveries of Ferruginous Hawks Banded in Colorado
2024· article· en· Digital Commons - University of South Florida (University of South Florida)· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Triangle anomaly and the muon g-2
Andrzej Czarnecki, William J. Marciano, A.I. Vainshtein
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
ATLAS data sonification : a new interface for musical expression
E. Hill, Juliana Cherston, S. Goldfarb, Joseph A. Paradiso
2017· article· en· Proceedings of 38th International Conference on High Energy Physics — PoS(ICHEP2016)· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Processing.js
Andor Salga, Daniel Hodgin, Anna Sobiepanek, Scott Downe, Mickael Medel, Catherine Leung
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Particles, Strings and Cosmology (PASCOS)
M. Hirsch, V. A. Mitsou, Carlos Muñoz, S. Pastor, M. Tórtola, J. W. F. Valle +1 more
2010· article· en· Journal of Physics Conference Series· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Predicting Feynman periods in ϕ4-theory
Paul‐Hermann Balduf, Kimia Shaban
2024· article· en· Journal of High Energy Physics· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
The computational planet
Sergey V. Kovalchuk, Clélia de Mulatier, Derek Groen, Maciej Paszyński, Valeria V. Krzhizhanovskaya, Jack Dongarra +1 more
2023· article· en· Journal of Computational Science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Tensor of Quantitative Equational Theories
Giorgio Bacci, Radu Mardare, Prakash Panangaden, Gordon Plotkin
2021· article· en· DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
How to develop your network with Python and Keras
Silvia Liberata Ullo, Maria Pia Del Rosso, Alessandro Sebastianelli, Erika Puglisi, Mario Luca Bernardi, Marta Cimitile
2021· book-chapter· en· IET eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Universe Dynamics
Jacques Vanier, Cipriana Tomescu
2019· book· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affaboutunlabeled
Development of a Data Warehouse for Riverine and Coastal Flood Risk Management
Heather McGrath, Emmanuel Stefanakis, Miroslav Nastev
2014· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
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