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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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Research Portal (King's College London)
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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.

affaffiliation
fundfunder
venuejournal
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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.

538 results · 1 filter active ·
Results by year
20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
538 works in the cohort · of 4,299,418page 11 of 11

Labels cover 0 of 538 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 538 of 538 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 affno abstractunlabeled
Righetti, Alberta
2017· other· sv· Research Portal (King's College London)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Sudbury, Michelle
2025· other· en· Research Portal (King's College London)· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Hinksman, Barrie
2023· other· en· Research Portal (King's College London)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Scott, Barrie
2023· other· en· Research Portal (King's College London)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Righetti, Alberta
2017· other· sv· Research Portal (King's College London)· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Jones, Barrie
2012· other· en· Research Portal (King's College London)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
McGill, Aine
2024· other· en· Research Portal (King's College London)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Simpson, Barrie
2012· other· en· Research Portal (King's College London)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
McGill, Alan
2023· other· en· Research Portal (King's College London)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Antioxidants and pre-eclampsia - Reply
Lucilla Poston, Frank J. Kelly, Andrew Shennan, Lucy C. Chappell
2000· article· en· Research Portal (King's College London)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Timmins, Liadh
2021· other· de· Research Portal (King's College London)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Urinary Proteomics to Predict Pre-Eclampsia
Christian Delles, David Carty, Janet E. Brennand, Lucy C. Chappell, Justyna Siwy, Julia Franke +5 more
2010· article· en· Research Portal (King's College London)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Peck, Barrie
2023· other· en· Research Portal (King's College London)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Simpson, Barrie
2012· other· en· Research Portal (King's College London)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Brampton, David
2023· other· en· Research Portal (King's College London)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Australian Letters in the London Eye
Ian R. Henderson
2007· article· en· Research Portal (King's College London)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Antiphospholipid (Hughes) syndrome - Preface
Munther A. Khamashta
2001· article· en· Research Portal (King's College London)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About