MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Photoreceptor and optogenetics research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,054 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,054 works in the cohort · of 4,299,418page 3 of 22

Labels cover 0 of 1,054 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 1,054 of 1,054 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.

afffundunlabeled
An Optogenetic Kindling Model of Neocortical Epilepsy
Elvis Cela, Amanda R. McFarlan, Andrew J. Chung, Taiji Wang, Sabrina Chierzi, Keith K. Murai +1 more
2019· article· en· Scientific Reports· Neuroscience
machine prediction:candidate · noneconsensus · none
82
citations
fundno affno abstractunlabeled
Quantal noise from human red cone pigment
Yingbin Fu, Vladimir J. Kefalov, Dong-Gen Luo, Tian Xue, King-Wai Yau
2008· article· en· Nature Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
80
citations
affunlabeled
Optical techniques in optogenetics
Samarendra Mohanty, Vasudevan Lakshminarayanan
2015· article· en· Journal of Modern Optics· Neuroscience
machine prediction:candidate · noneconsensus · none
73
citations
fundno affunlabeled
Fluorogenic Targeting of Voltage-Sensitive Dyes to Neurons
Pei Liu, Vincent Grenier, Woo-Tack Hong, Vikram R. Muller, Evan W. Miller
2017· article· en· Journal of the American Chemical Society· Neuroscience
machine prediction:candidate · noneconsensus · none
66
citations
affunlabeled
Osmotic Stress
Karlheinz Altendorf, Ian R. Booth, Jay D. Gralla, Jörg‐Christian Greie, Adam Rosenthal, Janet M. Wood
2009· article· en· EcoSal Plus· Neuroscience
machine prediction:candidate · noneconsensus · none
66
citations
afffundunlabeled
Evolution of rhodopsin ion pumps in haloarchaea
Adrian K. Sharma, David A. Walsh, Éric Bapteste, Francisco Rodríguez‐Valera, W. Ford Doolittle, R. Thane Papke
2007· article· en· BMC Evolutionary Biology· Neuroscience
machine prediction:candidate · noneconsensus · none
63
citations
← previousnext →

How this was built: Screen · Findings · About