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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.

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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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.

3,468 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.
3,468 works in the cohort · of 4,299,418page 4 of 70

Labels cover 10 of 3,468 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 3,468 of 3,468 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
The SPACE of Developer Productivity
Nicole Forsgren, Margaret‐Anne Storey, Chandra Maddila, Thomas Zimmermann, Brian Houck, Jenna Butler
2021· article· en· Queue· Computer Science
machine prediction:candidate · noneconsensus · none
133
citations
affunlabeled
Cyclomatic Complexity
Christof Ebert, James Cain, Giuliano Antoniol, Steve Counsell, Phillip A. Laplante
2016· article· en· IEEE Software· Computer Science
machine prediction:candidate · noneconsensus · none
128
citations
affunlabeled
Recommending Emergent Teams
Shawn Minto, Gail C. Murphy
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
128
citations
affunlabeled
TODO or to bug
Margaret‐Anne Storey, Jody Ryall, R. Ian Bull, Del Myers, Janice Singer
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
124
citations
affunlabeled
Mining duplicate questions in stack overflow
Muhammad Ahasanuzzaman, Muhammad Asaduzzaman, Chanchal K. Roy, Kevin A. Schneider
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
Evaluating Modern Clone Detection Tools
Jeffrey Svajlenko, Chanchal K. Roy
2014· article· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
122
citations
affunlabeled
The emotional side of software developers in JIRA
Marco Ortu, Alessandro Murgia, Giuseppe Destefanis, Parastou Tourani, Roberto Tonelli, Michele Marchesi +1 more
2016· article· en· Computer Science
machine prediction:candidate · stsconsensus · none
120
citations
afffundunlabeled
Seeking the ground truth
Bradley Edward Cossette, Robert J. Walker
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
120
citations
affunlabeled
Back to the future
Yvonne Coady, Gregor Kiczales
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
119
citations
afffundno abstractunlabeled
Automated impact analysis of UML models
Lionel Briand, Yvan Labiche, Lilian O’Sullivan, Michal M. Sówka
2005· article· en· Journal of Systems and Software· Computer Science
machine prediction:candidate · noneconsensus · none
119
citations
affunlabeled
Awareness 2.0
Christoph Treude, Margaret‐Anne Storey
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
117
citations
affno abstractunlabeled
Review participation in modern code review
Patanamon Thongtanunam, Shane McIntosh, Ahmed E. Hassan, Hajimu Iida
2016· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · metaresearchconsensus · none
116
citations

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