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 and Hyperthermia 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.

1,638 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.
1,638 works in the cohort · of 4,299,418page 1 of 33

Labels cover 2 of 1,638 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 1,638 of 1,638 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.

afffundno abstractunlabeled
Super-resolution Ultrasound Imaging
Kirsten Christensen-Jeffries, Olivier Couture, Paul A. Dayton, Yonina C. Eldar, Kullervo Hynynen, Fabian Kießling +6 more
2020· review· en· Ultrasound in Medicine & Biology· Engineering
machine prediction:candidate · noneconsensus · none
546
citations
affunlabeled
How to perform Contrast-Enhanced Ultrasound (CEUS)
Christoph F. Dietrich, Michalakis A. Averkiou, Michael Bachmann Nielsen, R. Graham Barr, Peter N. Burns, Fabrizio Calliada +37 more
2018· review· en· Ultrasound International Open· Engineering
machine prediction:candidate · noneconsensus · none
365
citations
affunlabeled
Pulse Inversion Imaging of Liver Blood Flow
Peter N. Burns, Stephanie R. Wilson, David Hope Simpson
2000· article· en· Investigative Radiology· Engineering
machine prediction:candidate · noneconsensus · none
355
citations
afffundno abstractunlabeled
Ultrasound-Responsive Cavitation Nuclei for Therapy and Drug Delivery
Klazina Kooiman, Silke Roovers, Simone A.G. Langeveld, Robert T. Kleven, Heleen Dewitte, Meaghan A. O’Reilly +7 more
2020· review· en· Ultrasound in Medicine & Biology· Engineering
machine prediction:candidate · noneconsensus · none
337
citations
affno abstractunlabeled
Ultrasonic spectral parameter characterization of apoptosis
Michael C. Kolios, Gregory J. Czarnota, Micheal Kang Yin Lee, J.W. Hunt, M.D. Sherar
2002· article· en· Ultrasound in Medicine & Biology· Engineering
machine prediction:candidate · noneconsensus · none
259
citations
affunlabeled
Thermal Therapy, Part 2: Hyperthermia Techniques
Riadh Habash, Rajeev Bansal, Daniel Krewski, H.T. Al-Hafid
2006· review· en· Critical Reviews in Biomedical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
232
citations

How this was built: Screen · Findings · About