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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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SN Computer Science
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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.

71 results · 1 filter active ·
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20192025
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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.
71 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 71 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 71 of 71 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.

afffundno abstractunlabeled
Disturbance Rejection in the Cerebellum
Mireille E. Broucke
2024· article· en· SN Computer Science· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
(Un)employment of AI in Higher Education
Bahar Memarian, Tenzin Doleck
2024· article· en· SN Computer Science· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Hybrid Approach to Ontology Modularization
Bernabé Batchakui, Roger Nkambou, Emile Tawamba
2023· article· en· SN Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Enhancing Grey Wolf Optimization with Applications and Innovations
Durga Praveen Deevi, Sharadha Kodadi, Himabindu Chetlapalli, Naga Sushma Allur, Koteswararao Dondapati, Thinagaran Perumal
2025· article· en· SN Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Training Integer-Only Deep Recurrent Neural Networks
Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian
2023· article· en· SN Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About