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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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European Journal of Nuclear Medicine and Molecular Imaging
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Retraction
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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.

214 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.
214 works in the cohort · of 4,299,418page 4 of 5

Labels cover 1 of 214 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 214 of 214 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.

afffundno abstractunlabeled
Effect of (Z)-isomer content on [11C]ABP688 binding potential in humans
Kelly Smart, Sylvia M. L. Cox, Alexey Kostikov, Aliaksandr Shalai, Stephanie G. Scala, Maria Tippler +5 more
2019· article· en· European Journal of Nuclear Medicine and Molecular Imaging· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Should end-to-end deep learning replace handcrafted radiomics?
Irène Buvat, Joyita Dutta, Abhinav K. Jha, Eliot L. Siegel, Fereshteh Yousefirizi, Arman Rahmim +1 more
2025· letter· en· European Journal of Nuclear Medicine and Molecular Imaging· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Economic sanctions are against basic human rights on health
Mohsen Farsad, Arman Rahmim, Simin Dadparvar, Jamshid Farahati, Siroos Mirzaei, Abass Alavi
2019· letter· en· European Journal of Nuclear Medicine and Molecular Imaging· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
First-in-human PET neuroimaging of [18F]OXD-2314
Emily Murrell, Lucas Narciso, Kimberly L. Desmond, Anton Lindberg, Armando García, Chester A. Mathis +3 more
2025· article· en· European Journal of Nuclear Medicine and Molecular Imaging· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
The great mimicker: an extensive bone sarcoidosis
James P Buteau, Eugenia Ducharne Asuaje, Étienne Rousseau, Carlos Andrés Ochoa, Edmond Rizcallah, Éric Turcotte +1 more
2014· article· en· European Journal of Nuclear Medicine and Molecular Imaging· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Comparing and combining TSPO-PET tracers in tauopathies
Nicolai Franzmeier, Nesrine Rahmouni, Johannes Gnörich, Tim D. Fryer, Young T. Hong, Sebastian N. Roemer‐Cassiano +15 more
2025· article· en· European Journal of Nuclear Medicine and Molecular Imaging· Medicine
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About