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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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Frontiers in Neuroinformatics
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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.

112 results · 1 filter active ·
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20082025
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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.
112 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 112 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 112 of 112 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Dipy, a library for the analysis of diffusion MRI data
Eleftherios Garyfallidis, Matthew Brett, Bagrat Amirbekian, Ariel Rokem, Stéfan van der Walt, Maxime Descoteaux +1 more
2014· article· en· Frontiers in Neuroinformatics· Medicine
distilled prediction:candidate · noneconsensus · none
1,462
citations
afffundunlabeled
Reproducibility of neuroimaging analyses across operating systems
Tristan Glatard, Lindsay B. Lewis, Rafael Ferreira da Silva, Reza Adalat, Natacha Beck, Claude Lepage +6 more
2015· article· en· Frontiers in Neuroinformatics· Neuroscience
distilled prediction:candidate · metaresearchconsensus · none
149
citations
affunlabeled
MINC 2.0: A Flexible Format for Multi-Modal Images
Robert D. Vincent, P. Neelin, Najmeh Khalili‐Mahani, Andrew L. Janke, Vladimir Fonov, Steven Robbins +8 more
2016· article· en· Frontiers in Neuroinformatics· Medicine
distilled prediction:candidate · noneconsensus · none
86
citations
affunlabeled
Python scripting in the Nengo simulator
Terrence C. Stewart
2009· article· en· Frontiers in Neuroinformatics· Engineering
distilled prediction:candidate · noneconsensus · none
53
citations
afffundaboutunlabeled
Cyberinfrastructure for Open Science at the Montreal Neurological Institute
Samir Das, Tristan Glatard, Christine Rogers, John Saigle, Santiago Paiva, Leigh MacIntyre +28 more
2017· article· en· Frontiers in Neuroinformatics· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+open_scienceconsensus · open_science
38
citations
afffundunlabeled
Python for large-scale electrophysiology
Martin A. Spacek
2008· article· en· Frontiers in Neuroinformatics· Neuroscience
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Integrating neuroinformatics tools in TheVirtualBrain
Marmaduke Woodman, Laurent Pézard, Lia Domide, S. A. Knock, Paula Sanz‐Leon, Jochen Mersmann +2 more
2014· article· en· Frontiers in Neuroinformatics· Neuroscience
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
32
citations
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