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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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Medical Imaging Techniques and Applications
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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.

2,749 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.
2,749 works in the cohort · of 4,299,418page 19 of 55

Labels cover 4 of 2,749 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 2,749 of 2,749 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.

affunlabeled
An open resource for nonhuman primate imaging
Michael P. Milham, Lei Ai, Bonhwang Koo, Ting Xu, Fabien Balezeau, Mark G. Baxter +34 more
2017· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Medicine
machine prediction:candidate · open_scienceconsensus · none
6
citations
afffundno abstractunlabeled
Isotopes for combined PET/SPECT imaging
C. Rangacharyulu, Christine Roh
2015· article· en· Journal of Radioanalytical and Nuclear Chemistry· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Technologist Approach to Global Dose Optimization
Pedro Fragoso Costa, Giorgio Testanera, Luca Camoni, Christelle Terwinghe, Elizabeth Bailey, Norman E. Bolus +1 more
2018· article· en· Journal of Nuclear Medicine Technology· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
On intermediate view estimation in computed tomography
Ramesh R. Galigekere, K. Wiesent, Thomas Mertelmeier, David W. Holdsworth
2000· article· en· Circuits Systems and Signal Processing· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Clinical PET Flow Reserve Imaging
Rob Beanlands, Aun‐Yeong Chong, Robert A. deKemp
2016· letter· en· JACC. Cardiovascular imaging· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Tuning of avalanche photodiode PET camera
J. Cadorette, S. Rodrigue, Roger Lecomte
2003· article· en· IEEE Conference on Nuclear Science Symposium and Medical Imaging· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Initial results from the Sherbrooke avalanche photodiode PET scanner
Roger Lecomte, J. Cadorette, S. Rodrigue, D. Lapointe, D. Rouleau, M’hamed Bentourkia +3 more
2002· article· en· 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record· Medicine
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About