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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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Bayesian Modeling and Causal Inference
Retraction
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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
fundfunder
venuejournal
aboutaboutness

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

961 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.
961 works in the cohort · of 4,299,418page 17 of 20

Labels cover 2 of 961 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 961 of 961 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Bayesian Belief Networks
Eric Neufeld, Michael C. Horsch
2009· other· en· Wiley Encyclopedia of Computer Science and Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Parallel probabilities
Glyn George
2020· article· en· The Mathematical Gazette· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
W11. GENOME-WIDE ANALYSIS OF THE ANXIETY DISORDER SPECTRUM
Abigail ter Kuile, Molly R. Davies, Kirstin L. Purves, Jonathan R. I. Coleman, Christopher Hübel, Gursharan Kalsi +6 more
2021· article· en· European Neuropsychopharmacology· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Table2Sim1kLoadModules.R
Clayton Webb, Suzanna Linn, Matthew Lebo
2019· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Table2Sim3k.R
Clayton Webb, Suzanna Linn, Matthew Lebo
2019· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Vector Exponential Models and Second Order Inference
D. A. S. Fraser, Uyen Hoang, Kexin Ji, Xufei Li, Li Li, Wei Lin +1 more
2012· article· en· Pakistan Journal of Statistics and Operation Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A causal direction test for heterogeneous populations
Vahid Partovi Nia, LI Xin-lin, Masoud Asgharian, Shoubo Hu, Yanhui Geng, Zhitang Chen
2021· article· en· Machine Learning with Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Table2Sim2kLoadModules.R
Clayton Webb, Suzanna Linn, Matthew Lebo
2019· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Dealing with Intractability
Iris van Rooij, Mark Blokpoel, Johan Kwisthout, Todd Wareham
2019· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Special issue on Bayesian econometrics
Luc Bauwens, Gary Koop, John M. Maheu, Yasuhiro Omori
2016· article· en· Computational Statistics & Data Analysis· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Table2Sim5kLoadModules.R
Clayton Webb, Suzanna Linn, Matthew Lebo
2019· dataset· sr· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Separation of variables
Marcus Pivato
2010· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Figure2LoadModules.R
Clayton Webb, Suzanna Linn, Matthew Lebo
2019· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Approximations in Probabilistic Programs
Ekansh Sharma, Daniel M. Roy
2019· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Assigning probabilities
Phil Gregory
2005· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Statistical Model Building
Jürgen Hedderich, Lothar Sachs
2024· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Fast and Small Subsampled R-indexes
Dustin Cobas, Travis Gagie, Gonzalo Navarro
2024· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Statistical Relational Models
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Measuring belief-dependent preferences without data on beliefs
Alexander Sebald, Charles Bellemare
2022· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+open_science+insufficient_payloadconsensus · open_science+insufficient_payload
0
citations
affunlabeled
Learning to Discover Graphical Model Structures
Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko
2016· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
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