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

32 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
32 works in the cohort · of 4,299,418page 1 of 1

Labels cover 1 of 32 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 32 of 32 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.

affunlabeled
Past, Present and Future of Software for Bayesian Inference
Erik Štrumbelj, Alexandre Bouchard‐Côté, Jukka Corander, Andrew Gelman, Håvard Rue, Lawrence M. Murray +3 more
2024· article· en· Statistical Science· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affgemma · metaresearchgpt · metaresearchmodels agree
Bayes, Reproducibility and the Quest for Truth
D. A. S. Fraser, Michel Bédard, Augustine Wong, Wei Lin, A. M. Fraser
2016· article· en· Statistical Science· Mathematics
machine prediction:candidate · metaresearchconsensus · none
12
citations
affunlabeled
Comment: Minimalist $g$-Modeling
Roger Koenker, Jiaying Gu
2019· article· en· Statistical Science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Emerging Directions in Bayesian Computation
Steven L. Winter, Trevor Campbell, Lizhen Lin, Sanvesh Srivastava, David B. Dunson
2024· article· en· Statistical Science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
In Praise (and Search) of J. V. Uspensky
Persi Diaconis, S. L. Zabell
2022· article· en· Statistical Science· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Antoine Gombaud, Chevalier de Méré
David R. Bellhouse, Christian Genest
2024· article· fr· Statistical Science· Mathematics
machine prediction:candidate · stsconsensus · none
2
citations
aboutno affunlabeled
A conversation with Samuel Kotz
Saralees Nadarajah
2002· article· en· Statistical Science· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
afffundaboutunlabeled
A Conversation with Martin Bradbury Wilk
Christian Genest, Gordon Brackstone
2010· article· en· Statistical Science· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
A Conversation with Mary E. Thompson
Rhonda J. Rosychuk
2023· article· en· Statistical Science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
fundaboutno affunlabeled
A Conversation with Ross Prentice
Li Hsu, Charles Kooperberg
2022· article· en· Statistical Science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Conversation with James Hannan
Dennis Gilliland, Ravi Ramamoorthi
2010· article· en· Statistical Science· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About