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
Additive Manufacturing and 3D Printing Technologies
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.

1,448 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.
1,448 works in the cohort · of 4,299,418page 18 of 29

Labels cover 5 of 1,448 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 1,448 of 1,448 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Basics of Metal Additive Manufacturing
Ehsan Toyserkani, Dyuti Sarker, Osezua Ibhadode, Farzad Liravi, Paola Russo, Katayoon Taherkhani
2021· other· en· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
Computational Models: 3D Printing, Materials and Structures
Ashish R. Prajapati, Shilpesh R. Rajpurohit, Madhukar Somireddy
2021· book-chapter· en· Materials forming, machining and tribology· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
Measurement of Water Content in Metal Powders
Louis‐Philippe Lefebvre, Jiajie Dai, Yannig Thomas, Malgosia Daroszewska, Yadienka Martinez‐Rubi
2020· article· en· Materials Performance and Characterization· Engineering
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Experiments in 3D Printing Electric Motors
Alex Ellery, Abdurr Elaskri, M. Paranthaman, Fabrice Bernier
2025· article· en· Machines· Engineering
distilled prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Microencapsulation Yield Assessment Using TGA
Carlos Carmona, Manuel José Lis Arias, Óscar García Carmona, Fabrício Maestá Bezerra, Marc Pallarès, Noelia De la Cruz
2019· article· en· Journal of Mineral Metal and Material Engineering· Engineering
distilled prediction:candidate · noneconsensus · none
2
citations
← previousnext →

How this was built: Screen · Findings · About