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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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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.

192 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.
192 works in the cohort · of 4,299,418page 3 of 4

Labels cover 1 of 192 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 192 of 192 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.

afffundunlabeled
Abstract only
Ahmad Mizan, Greg Franks
2011· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affaboutunlabeled
Aspects in Architectural Description
Paul Clements, David Emery, Rich Hilliard, Philippe Kruchten
2007· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Relevant empirical testing research
James H. Andrews
2004· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Better performance or better manageability?
Mohammad A. Munawar, Paul A. S. Ward
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Open source application spaces
Joseph Feller, Brian Fitzgerald, Scott Hissam, Karim R. Lakhani, Walt Scacchi
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
A relationship-driven approach to view merging
Mehrdad Sabetzadeh, Shiva Nejati, Steve Easterbrook, Marsha Chećhik
2006· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Workshop report from Web2SE 2011
Christoph Treude, Margaret‐Anne Storey, Arie van Deursen, Andrew Begel, Sue Black
2011· article· en· ACM SIGSOFT Software Engineering Notes· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Genetic Improvement @ ICSE 2020
William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter +10 more
2020· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
jpf-logic
Matt Walker, Parssa Khazra, Anto Nanah Ji, Hongru Wang, Franck van Breugel
2023· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Report on MSR 2005
Stephan Diehl, Ahmed E. Hassan, Richard C. Holt
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
Shadow Program Committee Initiative
Patanamon Thongtanunam, Ayushi Rastogi, Foutse Khomh, Serge Demeyer, Meiyappan Nagappan, Kelly Blincoe +1 more
2021· article· en· ACM SIGSOFT Software Engineering Notes· Medicine
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
2
citations
affunlabeled
Abstract only
Hamoun Ghanbari, Cornel Barna, Marin Litoiu, Murray Woodside, Tao Zheng, J.W. Wong +1 more
2011· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
DEAS 2005
David Garlan, Marin Litoiu, Hausi Müller, John Mylopoulos, Dennis B. Smith, Kenny Wong
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
xTAO
Toacy Oliveira, Paulo Alencar, Donald Cowan, Carlos Lucena
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Continuous evolutionary one-step-ahead testing
Mechelle Gittens, Hanan Lutfiyya, M. Bauer
2004· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Report on the working conference on requirements engineering
Martin Glinz, Patrick Heymans, Anne Persson, Guttorm Sindre, Aybüke Aurum, Nazim H. Madhavji +3 more
2009· article· en· ACM SIGSOFT Software Engineering Notes· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Prioritizing lingering bugs
Shirin Akbarinasaji
2018· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
A whole new kind of engineering
L. B. S. Raccoon
2000· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Thoughts from a Not-So-Influential Educator
Greg Wilson
2020· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
DISCOA
Ömer Erdem Demir, Prémkumar Dévanbu, Nenad Medvidović, Eric Wohlstadter
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Refinement patterns for ASTD
Jérémy Milhau, Frédéric Gervais, Régine Laleau, Marc Frappier
2012· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
SEGarage
Lakshmanan Arumugam, Vikram N. Subramanian, Meiyappan Nagappan
2019· article· en· ACM SIGSOFT Software Engineering Notes· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Implicit context
Robert J. Walker, Gail C. Murphy
2000· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
STEP
Rhodes Brown, Karel Driesen, David Eng, Laurie Hendren, John Bagterp Jørgensen, Clark Verbrugge +1 more
2002· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
SST'19 - Software and Systems Traceability
Jan-Philipp Steghöfer, Nan Niu, Jin Guo, Anas Mahmoud
2019· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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