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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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Advanced Neuroimaging 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.

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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.

2,751 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.
2,751 works in the cohort · of 4,299,418page 54 of 56

Labels cover 6 of 2,751 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 2,751 of 2,751 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
Imaging White Matter Pathology in Epilepsy
Min Liu, Luis Concha, Boris C. Bernhardt, Neda Bernasconi, Andrea Bernasconi
2019· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial comment
Derek Griffiths
2000· editorial· en· Neurourology and Urodynamics· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Tractography Challenge ISMRM 2015 Code of the Scoring System
Jean‐Christophe Houde, Klaus Maier‐Hein, Peter Neher, Emmanuel Caruyer, Alessandro Daducci, Tim B. Dyrby +2 more
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A DTI study of cognitive function post stroke
Minjae Cho, Yoonhye Na, Yumi Hwang, Sungbum Pyun
2019· article· en· Frontiers in Human Neuroscience· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
White Matter Fiber Segmentation Using Functional Varifolds
K. Sathish Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
2017· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Diffusion Tensor Imaging
Steven M. Stufflebeam, Thomas Witzel, Szymon Mikulski, Simona Temereanca, Jason J.S. Barton, David S. Tuch +1 more
2014· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Human Statistical Atlas of Cardiac Fiber Architecture from DT-MRI
Hervé Lombaert, Jean‐Marc Peyrat, Stanislas Rapacchi, Laurent Fanton, Hervé Delingette, Nicholas Ayache +1 more
2011· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About