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
Metal Powder Report
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.

37 results · 1 filter active ·
Results by year
20002023
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.
37 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 37 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 37 of 37 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.

aboutno affunlabeled
Getting ready for Montréal
2005· article· en· Metal Powder Report· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Selling sales in Dearborn
2004· article· en· Metal Powder Report· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Phillips-Medisize expands MIM facility
2014· article· en· Metal Powder Report· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Product Finder
2013· article· en· Metal Powder Report· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Rewind
2015· article· en· Metal Powder Report· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Interview: Equispheres
Liz Nickels
2022· article· en· Metal Powder Report· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
General Carbide buys UK sales partner
2010· article· en· Metal Powder Report· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
A Canadian cradle of ideas
Joseph Capus
2002· article· en· Metal Powder Report· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stackpole bought from Gates Canada
2011· article· en· Metal Powder Report· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Enterprise pays off
2007· article· en· Metal Powder Report· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Canada Makes 3D prints space part
2017· article· en· Metal Powder Report· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About