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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
Retraction
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Label agreement
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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
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.

2,251 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 32 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.

afffundunlabeled
Measurement Variability Following MRI System Upgrade
Olivier Potvin, April Khademi, Isabelle Chouinard, Farnaz Farokhian, Louis Dieumegarde, Ilana R. Leppert +4 more
2023· preprint· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
MedRed_test.txt
Sanja Šćepanović, Enrique Martín-López, Daniele Quercia
2020· dataset· en· Harvard Dataverse· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on gmd-2024-175
2025· peer-review· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
CARJ Editor’s Award 2022
Caroline Reinhold, Casey Hurrell, Michael N. Patlas
2022· editorial· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Test_MD_traj_for_MD2NMR
Tiejun Wei
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.endend.2011.08.053
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
JOGC Self-Assessment Test
2003· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(07)70258-6
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Copy Number Variation Analysis in the Diagnosis of MODY
Amanda J. Berberich, Jian Wang, Henian Cao, Adam Mcintyre, John F. Robinson, Robert A. Hegele
2018· article· en· Atherosclerosis Supplements· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ruthwell Cross 3D Model High Resolution (112M poly count)
Gurpreet Singh, Daniel Paul O’Donnell, The Visionary Cross Project
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Toward Integrated Clinical-Computational Nuclear Medicine
Faraz Farhadi, Shadi A. Esfahani, Fereshteh Yousefirizi, Monica Luo, Paz Fernández‐Ortega, Arkadiusz Sitek +4 more
2025· review· en· PET Clinics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Book Review
Robert J. Eckersley
2014· article· en· Ultrasound in Medicine & Biology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About