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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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Scientific Computing and Data Management
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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.

2,034 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.
2,034 works in the cohort · of 4,299,418page 2 of 41

Labels cover 13 of 2,034 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 2,034 of 2,034 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
SciPost Physics
Yuan Yao, Filippo M. Miatto, Nicolás Quesada
2016· paratext· eo· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
62
citations
affunlabeled
Interaction at Lincoln laboratory in the 1960's
William Buxton, Ron Baecker, Wesley A. Clark, F. H. Richardson, Ivan E. Sutherland, William R. Sutherland +1 more
2005· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
59
citations
affno abstractunlabeled
Unreproducible Research is Reproducible
Xavier Bouthillier, César Laurent, Pascal Vincent
2019· article· en· International Conference on Machine Learning· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
57
citations
afffundno abstractunlabeled
The need to implement FAIR principles in biomolecular simulations
Rommie E. Amaro, Johan Åqvist, İvet Bahar, Federica Battistini, Adam Bellaiche, Daniel Beltrán +121 more
2025· article· en· Nature Methods· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
56
citations
affunlabeled
How and Why to Build a Unified Tree of Life
Emily Jane McTavish, Bryan T. Drew, Ben Redelings, Karen Cranston
2017· review· en· BioEssays· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
53
citations
afffundunlabeled
Data Provenance in Security and Privacy
Bofeng Pan, Natalia Stakhanova, Suprio Ray
2023· review· en· ACM Computing Surveys· Decision Sciences
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Delta
Nicholas Kong, Tovi Grossman, Björn Hartmann, Maneesh Agrawala, George Fitzmaurice
2012· article· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
52
citations
affno abstractunlabeled
Next-Generation Sequencing Platforms
Sara El‐Metwally, Osama Ouda, Mohamed Helmy
2014· book-chapter· en· SpringerBriefs in systems biology· Decision Sciences
machine prediction:candidate · noneconsensus · none
46
citations
afffundunlabeled
Climate change
Steve Easterbrook
2010· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
44
citations
fundno affunlabeled
A New Method for Publishing Three-Dimensional Content
Eugene Raush, Maxim Totrov, Brian D. Marsden, Ruben Abagyan
2009· article· en· PLoS ONE· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
42
citations
afffundunlabeled
SADI, SHARE, and the in silico scientific method
Mark D. Wilkinson, Luke McCarthy, Benjamin P. Vandervalk, David Withers, Edward Kawas, Soroush Samadian
2010· article· en· BMC Bioinformatics· Decision Sciences
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Science Storms the Cloud
Chelle Gentemann, Chris Holdgraf, Ryan Abernathey, Daniel Crichton, J. Colliander, Edward J. Kearns +2 more
2021· article· en· AGU Advances· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Certify reproducibility with confidential data
Christophe Pérignon, Kamel Gadouche, Christophe Hurlin, Roxane Silberman, Eric Debonnel
2019· article· en· Science· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
40
citations
affunlabeled
Applying the FAIR Principles to computational workflows
Sean R. Wilkinson, Meznah Aloqalaa, Khalid Belhajjame, Michael R. Crusoe, Bruno P. Kinoshita, Luiz Gadelha +17 more
2025· article· en· Scientific Data· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
40
citations
affaboutunlabeled
University of British Columbia
Brian Fisher
2002· article· en· interactions· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
38
citations
affunlabeled
Earth Virtualization Engines (EVE)
Björn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger +128 more
2024· article· en· Earth system science data· Decision Sciences
machine prediction:candidate · noneconsensus · none
37
citations

How this was built: Screen · Findings · About