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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.

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Advanced MRI Techniques and Applications
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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,190 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,190 works in the cohort · of 4,299,418page 49 of 64

Labels cover 6 of 3,190 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 3,190 of 3,190 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
Quantitative T1 MRI
Mathieu Boudreau, Kathryn E. Keenan, Nikola Stikov
2023· preprint· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Comparison of the two ATS methacholine methods
Donald W. Cockcroft, Beth E. Davis, Audrey J. Smycniuk, D. Todd
2004· article· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Erratum to Brown, et al. Effect of Blood Flow on Double Inversion Recovery Vessel Wall MRI of the Peripheral Arteries: Quantitation with T2 Mapping and Comparison with Flow‐Insensitive T2‐Prepared Inversion Recovery Imaging. Magn Reson Med 2010;63:736–744
Ryan Brown, Thanh D. Nguyen, Pascal Spincemaille, Matthew D. Cham, Grace Choi, Priscilla A. Winchester +2 more
2010· erratum· en· Magnetic Resonance in Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Letter to the Editor
R. Mark Henkelman, Greg J. Stanisz, Simon J. Graham
2000· letter· en· Journal of Magnetic Resonance Imaging· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
MR-oximetry with fat DESPOT
Véronique Fortier, Ives R. Levesque
2023· article· en· Magnetic Resonance Imaging· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Relaxometry: Applications in the Brain
Alex L. MacKay, Cornelia Laule
2020· book-chapter· en· Advances in magnetic resonance technology and applications· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About