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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.

affaffiliation
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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 2 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.

affunlabeled
Model driven development
Dave Thomas, Brian Barry
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
Transition to Model-Driven Engineering
Jorge Aranda, Daniela Damian, Arber Borici
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
The Tao of Modeling Spaces.
Dragan Djurić, Dragan Gaševi, Vladan Devedžić
2006· article· en· The Journal of Object Technology· Computer Science
machine prediction:candidate · noneconsensus · none
35
citations
affno abstractunlabeled
Package Merge in UML 2: Practice vs. Theory?
Alanna Zito, Zinovy Diskin, Juergen Dingel
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Towards a model transformation intent catalog
Moussa Amrani, Jürgen Dingel, Leen Lambers, Lucio Levi, Rick Salay, Gehan Selim +2 more
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Extending Alloy with Partial Instances
Vajih Montaghami, Derek Rayside
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
A Survey of Tool Use in Modeling Education
Luciane Telinski Wiedermann Agner, Timothy C. Lethbridge
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Model driven development
Dave Thomas, Brian Barry
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Model execution tracing: a systematic mapping study
Fazilat Hojaji, Tanja Mayerhofer, Bahman Zamani, Abdelwahab Hamou‐Lhadj, Erwan Bousse
2019· article· en· Software & Systems Modeling· Computer Science
machine prediction:candidate · metaresearchconsensus · none
24
citations
affunlabeled
On Metamodeling in Megamodels
Dragan Gašević, Nima Kaviani, Marek Hatala
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
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