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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.

1,099 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.
1,099 works in the cohort · of 4,299,418page 1 of 22

Labels cover 1 of 1,099 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 1,099 of 1,099 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.

affno abstractunlabeled
Methodology for jbi scoping reviews
Micah D.J. Peters, Christina Godfrey, Patricia McInerney, Cássia Baldini Soares, Hanan Khalil, Deborah Parker
2015· article· en· Computer Science
machine prediction:candidate · metaresearchconsensus · metaresearch
299
citations
affunlabeled
SherLog
Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy
2010· article· en· ACM SIGARCH Computer Architecture News· Computer Science
machine prediction:candidate · noneconsensus · none
217
citations
affunlabeled
Performance by unified model analysis (PUMA)
Murray Woodside, Dorina C. Petriu, Dorin B. Petriu, Hui Shen, Toqeer Israr, José Merseguer
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
207
citations
affunlabeled
Do not blame users for misconfigurations
Tianyin Xu, Jiaqi Zhang, Peng Huang, Jing Zheng, Tianwei Sheng, Ding Yuan +2 more
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
173
citations
affunlabeled
A survey of trace exploration tools and techniques
Abdelwahab Hamou‐Lhadj, Timothy C. Lethbridge
2004· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
133
citations
afffundunlabeled
Performance modeling from software components
Xiuping Wu, Murray Woodside
2004· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
126
citations
affunlabeled
Automated performance analysis of load tests
Zhen Ming Jiang, Ahmed E. Hassan, Gilbert Hamann, Parminder Flora
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
110
citations
affno abstractunlabeled
Towards just-in-time suggestions for log changes
Heng Li, Weiyi Shang, Ying Zou, Ahmed E. Hassan
2016· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
79
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
affno abstractunlabeled
Studying and detecting log-related issues
Mehran Hassani, Weiyi Shang, Emad Shihab, Nikolaos Tsantalis
2018· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
affunlabeled
Layered Bottlenecks and Their Mitigation
P. Tregunno, Jing Xu, Murray Woodside, Dorina C. Petriu, Greg Franks
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
62
citations
affunlabeled
Logging library migrations
Suhas Kabinna, Cor‐Paul Bezemer, Weiyi Shang, Ahmed E. Hassan
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
60
citations
afffundunlabeled
Behavioral resource-aware model inference
Tony Ohmann, Michael Herzberg, Sebastian Fiss, Armand Halbert, Marc Palyart, Ivan Beschastnikh +1 more
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
56
citations

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