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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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White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
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Retraction
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Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

425 results · 1 filter active ·
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20042025
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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.
425 works in the cohort · of 4,299,418page 3 of 9

Labels cover 0 of 425 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 425 of 425 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.

fundno affunlabeled
Nozick’s libertarian critique of Regan
Josh Milburn
2017· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
MetaChem: An Algebraic Framework for Artificial Chemistries
Penelope Faulkner Rainford, Susan Stepney, Angelika Sebald
2020· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Genome-wide association study identifies multiple risk loci for renal cell carcinoma
Ghislaine Scélo, Mark P. Purdue, Kevin M. Brown, Mattias Johansson, Zhaoming Wang, Jeanette E. Eckel‐Passow +116 more
2017· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Search for direct production of winos and higgsinos in
\nevents with two same-charge leptons or three leptons
\nin pp collision data at √s = 13 TeV with the ATLAS
\ndetector
G. Aad, B. Abbott, D. C. Abbott, K. Abeling, S. H. Abidi, A. Aboulhorma +2790 more
2023· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Learning From the Past with Cascading Eligibility Traces
Tokiniaina Raharison Ralambomihanta, Ivan Anokhin, Roman Pogodin, Samira Ebrahimi Kahou, Jonathan Cornford, Blake A. Richards
2025· preprint· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Bury market: shopping destination and community hub
Paul Waley, Myfanwy Taylor, Sara González, Andy Newing, Lisa Buckner, R Wilkinson
2021· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Fuel poverty in the cost of living crisis
2022· report· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Transformations through sport : the case of capoeira and basketball
Mike Baynham, Jessica Bradley, John Callaghan, Jitka Hanušová, Erik Moore, J. Simpson
2017· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Improved prediction of fracture risk leveraging a genome-wide polygenic risk score
Tianyuan Lu, Vincenzo Forgetta, Julyan Keller‐Baruch, Maria Nethander, Derrick Bennett, Marie Forest +15 more
2021· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Will fleet managers really help vehicle fleets to become electric?
Magali Pierre, Eléonora Morganti, Virginie Boutueil
2016· preprint· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Large Shape Staggering in Neutron-Deficient Bi Isotopes
A. E. Barzakh, A. N. Andreyev, C. Raison, J. G. Cubiss, P. Van Duppen, S. Péru +43 more
2021· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
UK-EU Relations after Brexit: Why Breaking Up Is Hard to Do
Florence Faucher, Colin Hay, Dominique David
2020· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About