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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
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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 ·
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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.
538 works in the cohort · of 4,299,418page 7 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 affunlabeled
Information literacy in United Kingdom schools
David Streatfield, Sue Shaper, Sharon Esther Markless, Simon Rae-Scott
2011· article· en· Research Portal (King's College London)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Adaptive Bayesian designs for dose-ranging trials.
DA Berry, P. Müller, AP Grieve, M.K. Smith, T Parke, R Blazek +2 more
2002· book-chapter· en· Research Portal (King's College London)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
5-Key interfaces for medical devices
Frank Soboczenski
2014· article· en· Research Portal (King's College London)· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Letter to the editor.
M Krams, LR Lees, W Hacke, AP Grieve, J-M Ogogozo, GA Ford
2003· article· en· Research Portal (King's College London)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
FACTORS ASSOCIATED WITH ADHERENCE IN RHEUMATOID ARTHRITIS
Anna M. Ferguson, Abdel; id_orcid 0000-0002-4354-4433 Douiri, David L. Scott, Heidi Lempp
2012· article· en· Research Portal (King's College London)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Association between tinea manuum and mate manual workers
H M Smith, D Holloway, D. L. Armstrong, L Whittam, I R White, R J G Rycroft +1 more
2000· article· en· Research Portal (King's College London)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Montreal: the quest for a metropolis.
L Lees
2002· article· en· Research Portal (King's College London)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Prior distributions
AP Grieve
2005· book-chapter· en· Research Portal (King's College London)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Sonia; id_orcid 0000-0002-4729-8452 Massai, Margaret Jane Kidnie
2015· article· en· Research Portal (King's College London)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Vancouver is not where it is supposed to be
Didier; id_orcid 0000-0002-1908-6532 Bigo
2008· article· en· Research Portal (King's College London)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Likelihood
AP Grieve
2005· book-chapter· en· Research Portal (King's College London)
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
ROLE OF TRPV1 AND TRPA1 IN JOINT INFLAMMATION
E. S. Fernandes, F. A. Russell, D. Spina, J. J. McDougall, R. Graepel, C.; id_orcid 0000-0002-1148-8203 Gentry +6 more
2010· article· en· Research Portal (King's College London)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About