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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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Advanced Software Engineering Methodologies
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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.

1,299 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.
1,299 works in the cohort · of 4,299,418page 9 of 26

Labels cover 1 of 1,299 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 1,299 of 1,299 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
Assessment of Contemporary Modularization Techniques - ACoM'07
Alessandro Garcia, Phil Greenwood, George T. Heineman, Robert J. Walker, Yuanfang Cai, Hong Yul Yang +4 more
2007· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Modular Java web applications
Simon Richard Kaegi, Dwight Deugo
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
The structure of software design discussions
Giovanni Viviani, Calahan Janik-Jones, Michalis Famelis, Gail C. Murphy
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
UCM4IoT: A Use Case Modelling Environment for IoT Systems
Paul Boutot, Mirza Rehenuma Tabassum, Sadaf Mustafiz
2021· article· en· 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
afffundno abstractunlabeled
Unified use case statecharts: case studies
Davor Svetinović, Daniel M. Berry, Nancy A. Day, Michael W. Godfrey
2007· article· en· Requirements Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Improved GRL Modeling and Analysis with jUCMNav 5
Daniel Amyot, Rouzbahan Rashidi-Tabrizi, Gunter Mussbacher, Jason Kealey, Etienne Tremblay, Jennifer Horkoff
2013· article· en· iStar· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Specifying framework constraints with FCL
Daqing Hou, H. James Hoover, Piotr Rudnicki
2004· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Table transformation tools: why and how
Huihua Shen, J. I. Zucker, David Lorge Parnas
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Let's agree to disagree
Shiva Nejati, Marsha Chećhik
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
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