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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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Model-Driven Software Engineering 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.

695 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.
695 works in the cohort · of 4,299,418page 10 of 14

Labels cover 3 of 695 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 695 of 695 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
Bridging Concrete and Abstract Syntax of Web Rule Languages
Milan Milanović, Dragan Gašević, Adrian Giurca, Gerd Wagner, Sergey Lukichev, Vladan Devedžić
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Symmetry for the Analysis of Dynamic Systems
Zarrin Langari, Richard Trefler
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Intelligent Bug Fixing
Xiapu Luo, Weiyi Shang, Xiaobing Sun, Tao Zhang
2020· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
GOOL: a generic object-oriented language
Jacques Carette, Brooks MacLachlan, Spencer Smith
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Model Driven Workflow Development with T □
Fazle Rabbi, Wendy MacCaull
2012· book-chapter· en· Lecture notes in business information processing· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Metamorphosis problems for graph designs.
Selda Küçükçi̇fçi̇
2014· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
MID: A MetaCASE Tool for a Better Reuse of Visual Notations
Amine El Kouhen, Abdelouahed Gherbi, Cédric Dumoulin, Pierre Boulet, Sébastien Gérard
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Demystifying Domain Specific Languages
Abdelilah Kahlaoui, Alain Abran
2014· book-chapter· en· Computational Linguistics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Comparison of User-Generated and Automatic Graph Layouts
Bongshin Lee, Kori Inkpen Quinn, Petra Isenberg, G. Robertson, Danyel Fisher, Chris North +1 more
2009· article· en· IEEE Symposium on Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Embedding of Hypercubes into Generalized Books.
R. Sundara Rajan, Indra Rajasingh, Micheal Arockiaraj, T. M. Rajalaxmi, B. Mahavir
2017· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Contributor contact details
N. Roussel, P. Coussot, G. Ovarlez, C.F. Ferraris, N.S. Martys, S. Gauffinet-Garrault +8 more
2012· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Contributor contact details
Pekka K. Vallittu, Van P. Thompson, Nelson R.F.A Silva, Vuk Uskoković, Jorge Perdigão, Ana Sezinando +18 more
2013· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Contributor contact details
Nissim Garti, Richard M. Faulks, Susan Southon, Géraldine Lafitte, Edgar Acosta, Justas Barauskas +22 more
2008· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Contributor contact details
Z. Jin, L. Ren, Ziming Qian, M. Strickland, M. Taylor, M.L. Rodriguez +32 more
2014· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Preface to FP-UML 2007
Juan Trujillo, Jeffrey Parsons
2007· article· en· International Conference on Conceptual Modeling· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
umple/umple: Umple Release 1.31.1
TCLethbridge, Abdulaziz Abdulaziz, Vahdat Abdelzad, Miguel Garzón, Andrew Forward, Hamoud Aljamaan +24 more
2021· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-08-057192-8.50009-2
2000· book-chapter· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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