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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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Research Explorer (The University of Manchester)
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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.

507 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.
507 works in the cohort · of 4,299,418page 9 of 11

Labels cover 1 of 507 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 507 of 507 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.

affno abstractunlabeled
Aspergillus and Aspergillosis
2015· book-chapter· en· Research Explorer (The University of Manchester)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Management of painful diabetic neuropathy.
Mitra Tavakoli, Rayaz A. Malik
2010· article· en· Research Explorer (The University of Manchester)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Generalization and Distributed Learning of GFlowNets
Tiago da Silva, Amauri H. Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita
2025· article· en· Research Explorer (The University of Manchester)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Is There Ever a Need For Cough Medicines?
2006· article· en· Research Explorer (The University of Manchester)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Many Faces of Universal Basic Income
Jürgen De Wispelaere, Lindsay Stirton
2004· article· en· Research Explorer (The University of Manchester)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Airborne measurements of CO2, CH4 and HCN in boreal biomass burning plumes
Sebastian O’Shea, Stéphane Bauguitte, J. B. A. Muller, Michael Le Breton, Alexander T. Archibald, M. W. Gallagher +2 more
2013· article· en· Research Explorer (The University of Manchester)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Testosterone and frailty in ageing men
Upendram Srinivas-Shankar, Jackie Oldham, Martin J. Connolly, Frederick C. W. Wu
2007· article· en· Research Explorer (The University of Manchester)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Principles of Endocrinology: Hormone measurement
Phillip J. Monaghan, Ilias Perogamvros, Peter Trainer
2018· article· en· Research Explorer (The University of Manchester)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A role for the brainstem in regulating body weight
Amy A. Worth, Garron T. Dodd, Nicolas Nunn, Aaron K. Korpal, Simon M. Luckman
2013· article· en· Research Explorer (The University of Manchester)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About