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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 3 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
Debugging in Domain-Specific Modelling
Raphael Mannadiar, Hans Vangheluwe
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Modeling a Model Transformation Language
Eugene Syriani, Jeff Gray, Hans Vangheluwe
2013· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Domain-Specific Model Editors with Model Completion
Sagar Sen, Benoît Baudry, Hans Vangheluwe
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Programmed Graph Rewriting with DEVS
Eugene Syriani, Hans Vangheluwe
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
A unifying framework for homogeneous model composition
Jörg Kienzle, Gunter Mussbacher, Benoît Combemale, Julien Deantoni
2019· article· en· Software & Systems Modeling· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Formalizing COSMIC-FFP using ROOM
H. Diab, Marc Frappier, R. St.-Denis
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Software Language Engineering
Mark van den Brand, Dragan Gašević, Jeff Gray
2010· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
WoSEF
Susan Elliot Sim, Rainer Koschke
2001· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
afffundaboutunlabeled
Multidisciplinary students and instructors
Nathan Sturtevant, H. James Hoover, Jonathan Schaeffer, Sean Gouglas, Finnegan Southey, Matthew Bouchard +1 more
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Managing Models through Macromodeling
Rick Salay, John Mylopoulos, Steve Easterbrook
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Reasoning about Consistency in Model Merging.
Mehrdad Sabetzadeh, Shiva Nejati, Marsha Chećhik, Steve Easterbrook
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Systematic Transformation Development
Thomas Kühne, Gergely Mezei, Eugene Syriani, Hans Vangheluwe, Manuel Wimmer
2024· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Domain-Specific Language
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
A TOOL BASED ON DL FOR UML MODEL CONSISTENCY CHECKING
Jocelyn Simmonds, María Cecilia Bastarrica, Nancy Hitschfeld, Sebastián Rivas
2008· article· en· International Journal of Software Engineering and Knowledge Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
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