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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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Software Practice and Experience
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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.

140 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.
140 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 140 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 140 of 140 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
Software: Practice and Experience
Frédéric Gervais, Benoît Fraikin
2006· paratext· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
1,222
citations
affunlabeled
CD++: a toolkit to develop DEVS models
Gabriel Wainer
2002· article· en· Software Practice and Experience· Decision Sciences
machine prediction:candidate · noneconsensus · none
256
citations
afffundunlabeled
Better bitmap performance with Roaring bitmaps
Samy Chambi, Daniel Lemire, Owen Kaser, Robert Godin
2015· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
159
citations
affunlabeled
Software product lines: a case study
Mark A. Ardis, Nigel Daley, Daniel Hoffman, Harvey Siy, David M. Weiss
2000· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Agents in object‐oriented software engineering
Alessandro Garcia, Carlos Lucena, Donald Cowan
2004· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
51
citations
affunlabeled
Model‐driven rapid prototyping with Umple
Andrew Forward, Omar Badreddin, Timothy C. Lethbridge, Julian Solano
2011· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Schrödinger's token
John Aycock, R. Nigel Horspool
2001· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Grammar‐based test generation with YouGen
Daniel M. Hoffman, David Ly‐Gagnon, Paul Strooper, Hongyi Wang
2010· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Kwyjibo: automatic domain name generation
Heather Crawford, John Aycock
2008· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Enterprise frameworks: issues and research directions
Hafedh Mili, Mohamed E. Fayad, Davide Brugali, David Hamu, Dov Dori
2002· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Understanding Web server configuration issues
Martin Arlitt, Carey Williamson
2004· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
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