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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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Advanced Bandit Algorithms Research
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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.

436 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.
436 works in the cohort · of 4,299,418page 5 of 9

Labels cover 1 of 436 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 436 of 436 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Signal detection models as contextual bandits
2023· article· en· Royal Society Open Science· Decision Sciences
distilled prediction:candidate · sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
4
citations
afffundunlabeled
Sublinear regret for learning POMDPs
2022· article· en· Production and Operations Management· Decision Sciences
distilled prediction:candidate · stsconsensus · none
4
citations
affno abstractunlabeled
Budget-Driven Big Data Classification
2015· book-chapter· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · none
4
citations
affunlabeled
Foundations of Information Theory
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Prediction by Random-Walk Perturbation
2013· preprint· en· arXiv (Cornell University)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
4
citations
affno abstractunlabeled
Learning Product Rankings Robust to Fake Users
2020· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · none
3
citations
affunlabeled
Foundations of Convex Analysis
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
One-armed bandit process with a covariate
2013· article· en· Annals of the Institute of Statistical Mathematics· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
2
citations
affunlabeled
Learning Not to Regret
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
2
citations
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