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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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Neuroscience and Neural Engineering
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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.

1,050 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.
1,050 works in the cohort · of 4,299,418page 17 of 21

Labels cover 2 of 1,050 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 1,050 of 1,050 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Flash-visual evoked potential in dogs, sheep and horses
Mariana Isa Poci Palumbo
2014· dissertation· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Neuroscience
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.yoph.2015.02.007
2000· article· en· Time to knit· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Microfluidic in-channel multi-electrode platform for neurotransmitter sensing
Adnane Kara, Jessy Mathault, Arnaud Reitz, M. Boisvert, Frédéric Tessier, Jesse Greener +1 more
2016· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Neuroscience
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
venueno affunlabeled
Microelectronic Engineering
S. Raymond, S. Fafard, K. Hinzer, S. Charbonneau, J. Merz
2000· article· NPARC· Neuroscience
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
State-of -Art CMOS Biochip Technologies and Future Opportunities
Ebrahim Ghafar‐Zadeh, Saghi Forouhi, Tayebeh Azadmousavi
2024· book-chapter· en· Analog circuits and signal processing/Analog circuits and signal processing series· Neuroscience
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communicationconsensus · metaepi_narrow
0
citations
affno abstractunlabeled
Neuroprosthetics
Elham Mohseni Vadeghani, Adan Moallemi, Dena Shahriari
2024· book-chapter· en· Elsevier eBooks· Neuroscience
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
NeuroElectro Project
Shreejoy J. Tripathy, Richard C. Gerkin
2014· book-chapter· en· Encyclopedia of Computational Neuroscience· Neuroscience
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
NeuroElectro Project
Shreejoy J. Tripathy, Richard C. Gerkin
2022· book-chapter· en· Encyclopedia of Computational Neuroscience· Neuroscience
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

How this was built: Screen · Findings · About