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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.

189 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.
189 works in the cohort · of 4,299,418page 1 of 4

Labels cover 2 of 189 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 189 of 189 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
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair +2 more
2020· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
13,622
citations
affunlabeled
Deep learning for AI
Yoshua Bengio, Yann LeCun, Geoffrey E. Hinton
2021· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
627
citations
affunlabeled
Getting started with ASPECTJ
Gregor Kiczales, Erik Hilsdale, Jim Hugunin, Mik Kersten, Jeffrey Palm, William G. Griswold
2001· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
540
citations
affunlabeled
The state of user-centered design practice
Ji‐Ye Mao, Karel Vredenburg, Paul W. Smith, Tom Carey
2005· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
473
citations
affunlabeled
How UML is used
Brian Dobing, Jeffrey Parsons
2006· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · metaresearchconsensus · none
380
citations
affunlabeled
On the naturalness of software
Abram Hindle, Earl T. Barr, Mark Gabel, Zhendong Su, Prémkumar Dévanbu
2016· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · stsconsensus · none
291
citations
affunlabeled
Organic user interfaces
David Holman, Roel Vertegaal
2008· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
264
citations
fundno affunlabeled
Bitcoin's academic pedigree
Arvind Narayanan, Jeremy Clark
2017· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
243
citations
affunlabeled
The many facets of natural computing
Lila Kari, Grzegorz Rozenberg
2008· article· en· Communications of the ACM· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
240
citations
affunlabeled
Interface design for mobile commerce
Young Eun Lee, Izak Benbasat
2003· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Difference engine
Diwaker Gupta, Sangmin Lee, Michael Vrable, Stefan Savage, Alex C. Snoeren, George Varghese +2 more
2010· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
232
citations
affunlabeled
In defense of soundiness
Benjamin Livshits, Manu Sridharan, Yannis Smaragdakis, Ondřej Lhoták, José Nelson Amaral, Bor-Yuh Evan Chang +4 more
2015· article· en· Communications of the ACM· Psychology
machine prediction:candidate · noneconsensus · none
229
citations
affunlabeled
Programming by optimization
Holger H. Hoos
2012· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
226
citations
affunlabeled
Large-scale complex IT systems
Ian Sommerville, Dave Cliff, Radu Călinescu, Justin Keen, Tim Kelly, Marta Kwiatkowska +2 more
2012· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
215
citations
affunlabeled
Scale-free geometry in OO programs
Alex Potanin, James Noble, Marcus Frean, Robert Biddle
2005· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
198
citations
fundno affunlabeled
MIP* = RE
Zhengfeng Ji, Anand Natarajan, Thomas Vidick, John C. Wright, Henry Yuen
2021· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
167
citations
affunlabeled
Certificate transparency
Ben Laurie
2014· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
166
citations
affunlabeled
Spam and the ongoing battle for the inbox
Joshua Goodman, Gordon V. Cormack, David Heckerman
2007· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
164
citations
affunlabeled
Global Virtual Teams
Line Dubé, Guy Paré
2001· article· en· Communications of the ACM· Engineering
machine prediction:candidate · noneconsensus · none
161
citations
affgemma · metaresearchgpt · metaresearchmodels split
Threats of a replication crisis in empirical computer science
Andy Cockburn, Pierre Dragicevic, Lonni Besançon, Carl Gutwin
2020· article· en· Communications of the ACM· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
153
citations
affunlabeled
The future is big graphs
Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles +35 more
2021· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
152
citations
affunlabeled
The grand challenge of computer Go
Sylvain Gelly, Levente Kocsis, Marc Schoenauer, Michèle Sébag, David Silver, Csaba Szepesvári +1 more
2012· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
136
citations
affunlabeled
Community
Barry Wellman
2005· article· en· Communications of the ACM· Social Sciences
machine prediction:candidate · noneconsensus · none
132
citations
afffundunlabeled
Using the forest to see the trees
Antonio Torralba, Kevin Murphy, William T. Freeman
2010· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
129
citations
affunlabeled
Introduction
Roel Vertegaal
2003· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
125
citations
affunlabeled
Is mobile email addiction overlooked?
Ofir Turel, Alexander Serenko
2010· article· en· Communications of the ACM· Social Sciences
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
TransLight
Tom DeFanti, Cees de Laat, Joe Mambretti, Kees Neggers, Bill St. Arnaud
2003· article· en· Communications of the ACM· Engineering
machine prediction:candidate · noneconsensus · none
110
citations
affunlabeled
DRAM errors in the wild
Bianca Schroeder, Eduardo Pinheiro, Wolf-Dietrich Weber
2011· article· en· Communications of the ACM· Engineering
machine prediction:candidate · noneconsensus · none
100
citations
affunlabeled
Toward nature-inspired computing
Jiming Liu, Kwok Ching Tsui
2006· article· en· Communications of the ACM· Engineering
machine prediction:candidate · noneconsensus · none
92
citations
affunlabeled
The Principles of Data-Centric AI
Mohammad Hossein Jarrahi, Ali Memariani, Shion Guha
2023· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
91
citations
affunlabeled
More testing should be taught
Terry Shepard, Margaret Lamb, Diane Kelly
2001· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
86
citations
affunlabeled
Current trends in web data analysis
Arun Sen, Peter A. Dacin, Christos Pattichis
2006· article· en· Communications of the ACM· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
81
citations
afffundunlabeled
Debugging distributed systems
Ivan Beschastnikh, Patty Wang, Yuriy Brun, Michael D. Ernst
2016· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affunlabeled
Interacting with groups of computers
Jeffrey S. Shell, Ted Selker, Roel Vertegaal
2003· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
68
citations

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