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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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Image and Object Detection Techniques
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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.

238 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.
238 works in the cohort · of 4,299,418page 1 of 5

Labels cover 1 of 238 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 238 of 238 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.

affno abstractunlabeled
Constrained curve fitting
G. Peter Lepage, Brian Clark, C. T. H. Davies, K. Hornbostel, Paul B. Mackenzie, Colin Morningstar +1 more
2002· article· en· Nuclear Physics B - Proceedings Supplements· Computer Science
machine prediction:candidate · noneconsensus · none
281
citations
affno abstractunlabeled
Methods for segmenting curved needles in ultrasound images
Stephen Okazawa, R. Ebrahimi, Jason Chuang, Robert Rohling, Septimiu E. Salcudean
2006· article· en· Medical Image Analysis· Computer Science
machine prediction:candidate · noneconsensus · none
105
citations
affno abstractunlabeled
Foundations of Computer Vision
James F. Peters
2017· book· en· Intelligent systems reference library· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Performance Evaluation in Image Processing
Michael A. Wirth, Matteo Fraschini, Martin Mašek, M. Bruynooghe
2006· article· en· EURASIP Journal on Advances in Signal Processing· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Fast regularity-constrained plane fitting
Yangbin Lin, Jialian Li, Cheng Wang, Zhonggui Chen, Zongyue Wang, Jonathan Li
2020· article· en· ISPRS Journal of Photogrammetry and Remote Sensing· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Fast robust GA-based ellipse detection
Jie Yao, N. Kharma, P. Grogono
2004· article· en· Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations

How this was built: Screen · Findings · About