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
MRI in cancer diagnosis
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.

627 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.
627 works in the cohort · of 4,299,418page 2 of 13

Labels cover 1 of 627 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 627 of 627 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
FIRST-PASS PERFUSION COMPUTED TOMOGRAPHY
Rajan Jain, Lisa Scarpace, Shehanaz Ellika, Lonni Schultz, Jack Rock, Mark L. Rosenblum +3 more
2007· article· en· Neurosurgery· Medicine
distilled prediction:candidate · noneconsensus · none
67
citations
afffundno abstractunlabeled
LI-RADS® ancillary features on CT and MRI
Victoria Chernyak, An Tang, Milana Flusberg, Demetri Papadatos, Bijan Bijan, Yuko Kono +1 more
2017· review· en· Abdominal Radiology· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
65
citations
fundno affno abstractunlabeled
Vessel calibre—a potential MRI biomarker of tumour response in clinical trials
Kyrre E. Emblem, Christian T. Farrar, Elizabeth R. Gerstner, Tracy T. Batchelor, Ronald Borra, Bruce R. Rosen +1 more
2014· review· en· Nature Reviews Clinical Oncology· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broad+research_integrityconsensus · metaresearch+metaepi_broad+research_integrity
59
citations
affunlabeled
Functional CT imaging of prostate cancer
Elizabeth Henderson, Michael Milosevic, Masoom A. Haider, Ivan Yeung
2003· article· en· Physics in Medicine and Biology· Medicine
distilled prediction:candidate · noneconsensus · none
58
citations
affunlabeled
Kidney Transplantation
Katja Hueper, Bennet Hensen, Marcel Gutberlet, Rongjun Chen, Dagmar Hartung, Amelie Barrmeyer +7 more
2015· article· en· Investigative Radiology· Medicine
distilled prediction:candidate · noneconsensus · none
56
citations
affno abstractunlabeled
Blood–Brain Barrier Imaging in Human Neuropathologies
Ronel Veksler, Ilan Shelef, Alon Friedman
2014· review· en· Archives of Medical Research· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
53
citations
affunlabeled
Challenges of Pelvic Imaging in Obese Women
Phyllis Glanc, Bonnie E. O’Hayon, Diljeet K. Singh, Syed A. J. Bokhari, Cynthia Maxwell
2012· review· en· Radiographics· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
43
citations
affunlabeled
Helical CT Protocols for the Abdomen and Pelvis
Martin O’Malley, Elkan F. Halpern, Peter R. Müeller, G. Scott Gazelle
2000· article· en· American Journal of Roentgenology· Medicine
distilled prediction:candidate · noneconsensus · none
43
citations

How this was built: Screen · Findings · About