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
Nature Communications
Topic
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.

6,308 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.
6,308 works in the cohort · of 4,299,418page 43 of 127

Labels cover 7 of 6,308 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 6,308 of 6,308 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
Optical framed knots as information carriers
Hugo Larocque, Alessio D’Errico, Manuel F. Ferrer-Garcia, Avishy Carmi, Eliahu Cohen, Ebrahim Karimi
2020· article· en· Nature Communications· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
84
citations
afffundaboutunlabeled
Early Cambrian origin of the shelf sediment mixed layer
Romain Gougeon, M. Gabriela Mángano, Luís A. Buatois, Guy M. Narbonne, Brittany A. Laing
2018· article· en· Nature Communications· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
84
citations
affunlabeled
A guided multiverse study of neuroimaging analyses
Jessica Dafflon, Pedro F. da Costa, František Váša, Ricardo Pio Monti, Danilo Bzdok, Peter J. Hellyer +4 more
2022· article· en· Nature Communications· Neuroscience
machine prediction:candidate · metaresearchconsensus · none
83
citations
affunlabeled
Carbon and health implications of trade restrictions
Jintai Lin, Mingxi Du, Lulu Chen, Kuishuang Feng, Yu Liu, Randall V. Martin +9 more
2019· article· en· Nature Communications· Environmental Science
machine prediction:candidate · noneconsensus · none
83
citations
affunlabeled
Sex as an important factor in nanomedicine
Mohammad Javad Hajipour, Haniyeh Aghaverdi, Vahid Serpooshan, Hojatollah Vali, Sara Sheibani, Morteza Mahmoudi
2021· review· en· Nature Communications· Medicine
machine prediction:candidate · noneconsensus · none
83
citations
afffundunlabeled
Towards a unified open access dataset of molecular interactions
Pablo Porras, Elisabet Barrera, Alan Bridge, Noemí del‐Toro, Gianni Cesareni, Margaret Duesbury +21 more
2020· review· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · open_scienceconsensus · none
82
citations
← previousnext →

How this was built: Screen · Findings · About