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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
Retraction
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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.

affaffiliation
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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
Evidence
Language
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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 60 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.

affaboutunlabeled
Peripheral MRA
Aroop Rastogi, Bruce B. Forster
2000· article· en· Contemporary Diagnostic Radiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.endend.2013.03.015
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Introduction to mass transport mechanisms
David S. Wilkinson
2000· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Magnetic resonance imaging at 9.4T: the Maastricht journey
Dimo Ivanov, Federico De Martino, Francisco J. Fritz, Rainer Goebel, Laurentius Huber, Sriranga Kashyap +9 more
2023· report· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ultra-fast FLISR in practice
Torbjörn Karlsson, Martin Mellbin, Juha Arvola
2025· article· en· IET conference proceedings.· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
IRIS-HSVD for automatic MRS data quantification
Xin Wang, J. H. Lee
2008· article· en· Conference proceedings - Canadian Conference on Electrical and Computer Engineering· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The phantom SPA method: an inventory problem revisited
F.J. Vazquez-Abad, M. Cepeda-Juneman
2003· article· en· WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
LDSF_KIPI.csv
Frank Place, Christophe Kouamé, Shayna Harris, Juan Carlos Motamayor, Martin Gilmour, Ermias Aynekulu
2015· dataset· en· Harvard Dataverse· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(08)70341-5
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s2171-6196(09)40028-x
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Blind Network Tomography
Muhammad Hassan Raza
2011· article· en· Library and Archives Canada (Government of Canada)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1257-5143(95)35472-6
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1879-8527(20)30005-8
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1879-8497(12)60167-8
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

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