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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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Radiomics and Machine Learning in Medical Imaging
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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.

2,251 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.
2,251 works in the cohort · of 4,299,418page 29 of 46

Labels cover 9 of 2,251 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 2,251 of 2,251 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
An interactive meta-analysis of MRI biomarkers of myelin
Matteo Mancini, Agâh Karakuzu, Julien Cohen‐Adad, Mara Cercignani, Thomas E. Nichols, Nikola Stikov
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Images Meta Data
Robert Klopfleisch, Katharina Breininger, Dorothee Bienzle, Christian Marzahl, Jason Stayt, Jörn Voigt +5 more
2022· dataset· en· Figshare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
TVC_Array_09.2021.zip
Victoria Dutch, Nick Rutter, Leanne Wake, Chris Derksen, Branden Walker, Gabriel Hould Gosselin +5 more
2021· dataset· en· Figshare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Hamilton_allData.csv
Andrea M. Arangio
2022· dataset· en· Figshare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
A standardised representation for non-parametric fMRI results
Camille Maumet, Guillaume Flandin, Martín Pérez-Guevara, Jean‐Baptiste Poline, Justin Rajendra, Richard C. Reynolds +2 more
2018· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
TRIAD multi‐dimensional biobank for biomarker discovery
Jenna Stevenson, Nesrine Rahmouni, Mira Chamoun, Andréa Lessa Benedet, Alyssa Stevenson, Vanessa Pallen +8 more
2022· article· en· Alzheimer s & Dementia· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
ATR phosphoproteomics - DHX9 validation
Rathan S Jadav, Florian Weiland, Thomas Carroll, Yuandi Gao, Jianming Wang, Houjiang Zhou +12 more
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Wallops SuperDARN data in netCDF format (2020-Jun)
Alex T. Chartier, Jordan R. Wiker
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Panel on Imaging Technology
Norbert Zimmermann, Tanya Henderson, Avshalom Karasik
2012· article· en· Sound Ideas (University of Puget Sound)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
2022-v2-9classes-AsturApple-SIZE224-train-dev-test.hdf5
Silverio García‐Cortés, Agustín Menéndez-Díaz, José Alberto Oliveira Prendes, A. Bello-García
2022· dataset· en· Figshare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About