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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 Processing and 3D Reconstruction
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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.

725 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.
725 works in the cohort · of 4,299,418page 1 of 15

Labels cover 1 of 725 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 725 of 725 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
Shape: A 3D Modeling Tool for Astrophysics
W. Steffen, Nicholas Koning, Stephan Wenger, C. Morisset, Marcus Magnor
2010· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
185
citations
afffundunlabeled
Projective analysis for 3D shape segmentation
Yunhai Wang, Minglun Gong, Tianhua Wang, Daniel Cohen‐Or, Hao Zhang, Baoquan Chen
2013· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affunlabeled
Recurring part arrangements in shape collections
Youyi Zheng, Daniel Cohen‐Or, Melinos Averkiou, Niloy J. Mitra
2014· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
affno abstractunlabeled
Multifractal analysis of 3D images of tillage soil
Iván G. Torre, Juan Carlos Losada, Richard J. Heck, Ana M. Tarquís
2017· article· en· Geoderma· Computer Science
machine prediction:candidate · noneconsensus · none
51
citations
afffundunlabeled
Construction and fabrication of reversible shape transforms
Shuhua Li, Ali Mahdavi‐Amiri, Ruizhen Hu, Han Liu, Changqing Zou, Oliver van Kaick +3 more
2018· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
50
citations
venueaboutno affunlabeled
Applications of Archaeological GIS
David Daniel Ebert
2004· article· en· Canadian Journal of Archaeology· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
afffundunlabeled
"Mind the gap"
Hui Huang, Kangxue Yin, Minglun Gong, Dani Lischinski, Daniel Cohen‐Or, Uri M. Ascher +1 more
2013· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Robust Solvers for Square Jigsaw Puzzles
Debajyoti Mondal, Yang Wang, Stéphane Durocher
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Machine learning-based metamodels for sawing simulation
Michael Morin, Frédérik Paradis, Amélie Rolland, Jean Wery, François Laviolette
2015· article· en· 2015 Winter Simulation Conference (WSC)· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
afffundunlabeled
C-Space tunnel discovery for puzzle path planning
Xinya Zhang, Robert Belfer, Paul G. Kry, Etienne Vouga
2020· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Synthetic Biometrics: A Survey
Svetlana Yanushkevich
2006· article· en· The 2006 IEEE International Joint Conference on Neural Network Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Water features and their parts
Boyan Brodaric, Torsten Hahmann, Michael Grüninger
2019· article· en· Applied Ontology· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
Dating medieval English charters
Gelila Tilahun, Andrey Feuerverger, Michael Gervers
2012· article· en· The Annals of Applied Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
The Modelling and Simulation Process
Louis G. Birta, Gilbert Arbez
2007· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
On Learning the Shape of Complex Actions
Terry Caelli, Andrew McCabe, Gordon Binsted
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Machine learning-based metamodels for sawing simulation
Michael Morin, Frédérik Paradis, Amélie Rolland, Jean Wery, Jonathan Gaudreault, François Laviolette
2015· article· en· Winter Simulation Conference· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About