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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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Future Generation Computer Systems
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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.

121 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.
121 works in the cohort · of 4,299,418page 3 of 3

Labels cover 1 of 121 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 121 of 121 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
SLO-aware dynamic self-adaptation of resources
Mirna Awad, Nadjia Kara, Claes Edstrom
2022· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractgemma · no categorygpt · no categorymodels agree
Special Section: QoS in Grid and Cloud
Anne James, Weiming Shen
2012· article· en· Future Generation Computer Systems· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
DNS user profiling and risk assessment: A learning approach
Yaser Baseri, Mahdi Daghmehchi Firoozjaei, Somayeh Sadeghi, William Belanger, Roozbeh Razavi‐Far
2025· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Energy Management for Cyber-Physical Cloud Systems
Neeraj Kumar, Athanasios V. Vasilakos, Kim‐Kwang Raymond Choo, Laurence T. Yang
2020· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
In silico framework for genome analysis
M. Saqib Nawaz, M. Zohaib Nawaz, Yongshun Gong, Philippe Fournier‐Viger, Abdoulaye Baniré Diallo
2024· article· en· Future Generation Computer Systems· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About