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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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Medical Image Segmentation Techniques
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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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.

1,412 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.
1,412 works in the cohort · of 4,299,418page 27 of 29

Labels cover 3 of 1,412 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 1,412 of 1,412 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
chakravala/Grassmann.jl v0.6.0
2020· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
A New Strategy of Edge Detection
Haibo Hu
2008· article· en· Microcomputer applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Regularized model fitting
Ismail Ben Ayed
2023· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Shape Distances for Binary Image Segmentation
Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox
2016· book-chapter· en· Mathematics and visualization· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Gray-Scale Edge Detection Techniques: A Survey and Comparative Analysis
Surendar Rama Sitaraman, Poovendran Alagarsundaram, T. Aditya Sai Srinivas, Kalyan Gattupalli, Harikumar Nagarajan, Balajee Maram
2025· book-chapter· en· Smart innovation, systems and technologies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Can Tocqueville karaoke?
2014· other· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Neuromod Natural Image Bank
Francois Nadeau, Samie-Jade Allard
2019· dataset· en· Figshare· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Shape in Medical Imaging
Christian Wachinger, Beatriz Paniagua, Shireen Elhabian, Jianning Li, Jan Egger
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Neural Approach to Image Thresholding
Ahmed A. Othman, Hamid R. Tizhoosh
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
OWS1.2 Image Handling Design
Arliss Whiteside, John Evans, George Percivall, Stephane Fellah, John B. Vincent, Liping Di
2004· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Intensity Profiles in Active Shape Model
Moulkheir Naoui, Ghalem Belalem
2020· article· en· Revue d intelligence artificielle· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Neuromod Natural Image Bank
Francois Nadeau, Samie-Jade Allard
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
MRI tissue segmentation incorporating a bias field modulated smoothness prior
Enmin Song, Valerie A. Cardenas, Diana Truran Sacrey, Robert S. Blumenfeld, Michael W. Weiner, Colin Studholme
2003· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About