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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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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 2 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.

affunlabeled
The Language Connectome
Anthony Steven Dick, Byron Bernal, Pascale Tremblay
2013· review· en· The Neuroscientist· Medicine
machine prediction:candidate · noneconsensus · none
338
citations
affno abstractgpt · no categorygrok · no categoryopus · no categorymodels split
Studying neuroanatomy using MRI
Jason P. Lerch, André van der Kouwe, Armin Raznahan, Tomáš Paus, Heidi Johansen‐Berg, Karla L. Miller +3 more
2017· review· en· Nature Neuroscience· Medicine
machine prediction:candidate · noneconsensus · none
335
citations
afffundno abstractunlabeled
Magnetic Resonance Imaging of Myelin
Cornelia Laule, Irene M. Vavasour, Shannon Kolind, David K.B. Li, Tony Traboulsee, George R. Moore +1 more
2007· review· en· Neurotherapeutics· Medicine
machine prediction:candidate · noneconsensus · none
324
citations
affunlabeled
Genetic Contributions to Human Brain Morphology and Intelligence
Hilleke E. Hulshoff Pol, Hugo G. Schnack, Daniëlle Posthuma, René C.W. Mandl, Clarine van Oel, Neeltje E.M. van Haren +8 more
2006· article· en· Journal of Neuroscience· Medicine
machine prediction:candidate · noneconsensus · none
291
citations
afffundunlabeled
Language networks in semantic dementia
Federica Agosta, Roland G. Henry, Raffaella Migliaccio, John Neuhaus, Bruce L. Miller, Nina F. Dronkers +5 more
2009· article· en· Brain· Medicine
machine prediction:candidate · noneconsensus · none
270
citations
affunlabeled
DWI of the spinal cord with reduced FOV single‐shot EPI
Emine Ülkü Sarıtaş, Charles H. Cunningham, Jin Hyung Lee, Eric Han, Dwight G. Nishimura
2008· article· en· Magnetic Resonance in Medicine· Medicine
machine prediction:candidate · noneconsensus · none
267
citations
affno abstractunlabeled
Tractometer: Towards validation of tractography pipelines
Marc-Alexandre Côté, Gabriel Girard, Arnaud Boré, Eleftherios Garyfallidis, Jean‐Christophe Houde, Maxime Descoteaux
2013· article· en· Medical Image Analysis· Medicine
machine prediction:candidate · metaresearchconsensus · none
236
citations
afffundno abstractunlabeled
Is diffusion anisotropy an accurate monitor of myelination?
Burkhard Mädler, Sylvia Drabycz, Shannon Kolind, Kenneth P. Whittall, Alexander L. MacKay
2008· article· en· Magnetic Resonance Imaging· Medicine
machine prediction:candidate · noneconsensus · none
229
citations

How this was built: Screen · Findings · About