MétaCan
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.

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
Nanopore and Nanochannel Transport Studies
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.

670 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.
670 works in the cohort · of 4,299,418page 8 of 14

Labels cover 0 of 670 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 670 of 670 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
Polymer Translocation Time
Yuyuan Lu, Zhenhua Wang, Lijia An, An‐Chang Shi
2021· article· en· The Journal of Physical Chemistry Letters· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
Molecular separation with carbon nanotubes
Behrouz Arash, Quan Wang
2014· article· en· Computational Materials Science· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Lethal effects of mitochondria via microfluidics
Hyueyun Kim, Young‐Ho Ahn, Chang Mo Moon, Jihee Lee Kang, Minna Woo, Minsuk Kim
2022· article· en· Bioengineering & Translational Medicine· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
Dynamic interactions of ions with carbon nanotubes in water
D. J. Mowbray, Z. L. Mišković, F. O. Goodman
2007· article· en· Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Nanopore Force Spectroscopy on DNA Duplexes
Nahid N. Jetha, Matthew Wiggin, Andre Marziali
2009· article· en· Methods in molecular biology· Engineering
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About