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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.

affaffiliation
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

587 results · 1 filter active ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
587 works in the cohort · of 4,299,418page 2 of 12

Labels cover 1 of 587 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 587 of 587 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Learning recursive functions: A survey
2008· article· en· Theoretical Computer Science· Computer Science
distilled prediction:candidate · stsconsensus · none
50
citations
affunlabeled
Bias learning, knowledge sharing
2003· article· en· IEEE Transactions on Neural Networks· Computer Science
distilled prediction:candidate · noneconsensus · none
45
citations
affunlabeled
On Nesting Monte Carlo Estimators
2017· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Clustering with Same-Cluster Queries
2016· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Cybernetics and Learning Automata
2009· book-chapter· en· Springer handbooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
42
citations
affunlabeled
PLAL: Cluster-based active learning
2013· article· en· Conference on Learning Theory· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
29
citations
affunlabeled
Learning from Weak Teachers
2012· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
28
citations
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How this was built: Screen · Findings · About