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
Ultrasound in Clinical Applications
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.

1,606 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.
1,606 works in the cohort · of 4,299,418page 26 of 33

Labels cover 6 of 1,606 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 1,606 of 1,606 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
JoVE Video Dataset
2023· article· pt· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Point of Care Ultrasound in Chest Trauma
Serena Rovida, Salman Bin Naeem, Andrew Kirckpatrick
2023· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Transesophageal Lung Ultrasound
Aurélien Lambert, R. Chen
2017· article· en· Survey of Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ultrasound Imaging in Midwifery Practice
Ling An
2019· dissertation· en· MacSphere (McMaster University)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Child With Cough and Fever
Gregory Harvey, Mark O. Tessaro
2017· article· en· Annals of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0246-0289(13)58996-1
Morgan Le Guen, Charlotte Arbelot
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Issue Information
2022· paratext· en· Journal of Clinical Ultrasound· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About