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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.

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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 Retrieval and Classification 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.

1,015 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.
1,015 works in the cohort · of 4,299,418page 1 of 21

Labels cover 2 of 1,015 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 1,015 of 1,015 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
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez, Jorge Bernal, F. Javier Sánchez, Glòria Fernández‐Esparrach, Antonio M. López, Adriana Romero +2 more
2017· article· en· Journal of Healthcare Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
832
citations
affunlabeled
Efficient shape matching using shape contexts
Giulio Mori, Serge Belongie, Jitendra Malik
2005· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
458
citations
affno abstractunlabeled
Description of shape information for 2-D and 3-D objects
Eric Paquet, Marc Rioux, A.M. Murching, T. Naveen, A. Tabatabai
2000· article· en· Signal Processing Image Communication· Computer Science
machine prediction:candidate · noneconsensus · none
297
citations
afffundunlabeled
Texture Classification from Random Features
Liu Li, Paul Fieguth
2011· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
288
citations
affno abstractunlabeled
A survey of table recognition
Richard Zanibbi, Dorothea Blostein, JamesR. Cordy
2004· article· en· International Journal on Document Analysis and Recognition (IJDAR)· Computer Science
machine prediction:candidate · noneconsensus · none
282
citations
affunlabeled
Image Retrieval from the World Wide Web
Mohammed Lamine Kherfi, Djemel Ziou, A. Bernardi
2004· review· en· ACM Computing Surveys· Computer Science
machine prediction:candidate · noneconsensus · none
276
citations
afffundunlabeled
Active co-analysis of a set of shapes
Yunhai Wang, Shmulik Asafi, Oliver van Kaick, Hao Zhang, Daniel Cohen‐Or, Baoquan Chen
2012· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
264
citations
affunlabeled
Seeing things in the clouds
Scott Bateman, Carl Gutwin, Miguel A. Nacenta
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
209
citations
affno abstractunlabeled
Multiscale Medial Loci and Their Properties
Stephen M. Pizer, Kaleem Siddiqi, Gábor Székely, James Damon, Steven W. Zucker
2003· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
175
citations
affunlabeled
Deep Learning for Instance Retrieval: A Survey
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul Fieguth +2 more
2022· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
174
citations
affunlabeled
Geometry-Based Image Retrieval in Binary Image Databases
Naif Alajlan, Mohamed S. Kamel, G.H. Freeman
2008· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
159
citations
affunlabeled
Classification-Driven Watershed Segmentation
Ilya Levner, Hong Zhang
2007· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
126
citations
affunlabeled
Shape retrieval based on dynamic programming
Evangelos Milios, Euripides G. M. Petrakis
2000· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
114
citations
affunlabeled
Co-Transduction for Shape Retrieval
Xiang Bai, Bo Wang, Cong Yao, Wenyu Liu, Zhuowen Tu
2011· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
112
citations
affno abstractunlabeled
Quaternion color texture segmentation
Lilong Shi, Brian Funt
2007· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
90
citations
affunlabeled
Robust and efficient skeletal graphs
Pavel Dimitrov, Charles Phillips, Kaleem Siddiqi
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
87
citations
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