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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.

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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.

45 results · 1 filter active ·
Results by year
20042024
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Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
45 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 45 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 45 of 45 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
The Extreme Future of Megacities
James Canton
2011· article· en· Significance· Social Sciences
machine prediction:candidate · noneconsensus · none
38
citations
fundno affunlabeled
Securing the Premises
Andromachi Tseloni, Rebecca Thompson
2015· article· en· Significance· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
A century of<i>T</i>-tests
Stephen Senn
2008· article· en· Significance· Computer Science
machine prediction:candidate · metaresearchconsensus · none
11
citations
affunlabeled
Remembering Sir David Cox, 1924–2022
David Firth, Nancy Reid, Deborah G. Mayo, Heather Battey
2022· article· en· Significance· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
The Real Goods and The Oversell
Lynn McDonald
2020· article· en· Significance· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Analysis in an Imperfect World
Michael P. Wallace
2020· article· en· Significance· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
How Deep is the Ocean?
James Hanley
2014· article· en· Significance· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Extreme Values in the Dock
Janet E. Heffernan, Jonathan A. Tawn
2004· article· en· Significance· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Visualising the<i>Titanic</i>Disaster
Michael Friendly, Jürgen Symanzik, Ortac Onder
2019· article· en· Significance· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
US Census: Unsustainable?
Robert H. Groves
2010· article· en· Significance· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A Case of Mistaken Identity
Simon Davies
2006· article· en· Significance· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
About “Her Emails”
Christopher Salahub, Wayne Oldford
2018· article· en· Significance· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Bayes and Price: When did it Start?
Márcio Alves Diniz, David R. Bellhouse
2020· article· en· Significance· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Fuel for Growth and Development
John Pullinger, Claire Melamed, George E. Bentley, Julie Shortridge, Stefanie M. Falconi, Ben Zaitchik +8 more
2015· article· en· Significance· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Who is buried in Playfair's Grave?
Ian Spence, Colin R. Fenn, Scott W. Klein
2017· article· en· Significance· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Data at the Ballet
Adam Matiussi, Joseph W. Shaw
2023· article· en· Significance· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Canada Census 2011: Not Scientifically Valid?
Jon C. Baskerville, Jack Miles, Robert H. Groves, Neville Davies, Martha Aliaga
2010· article· en· Significance· Mathematics
machine prediction:candidate · metaresearchconsensus · none
1
citations
aboutno affunlabeled
News/Interview/Editorial
Brian Tarran, Michael Wininger
2015· article· en· Significance· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Q&amp;A Gwen Eadie
2023· article· en· Significance· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Caution: Baby on Board
Donald A. Redelmeier, Sharon May
2014· article· en· Significance· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Carriage Full of Curates
Julian Champkin
2013· article· en· Significance· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The Sea, the Census and Statistics
Andrew R. Solow, Derek P. Tittensor
2010· article· en· Significance· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Down the Victorian data mine
James A. Hanley, Elizabeth Turner
2024· article· en· Significance· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Ticklish Problem
Marius A. Tirlea, Shahin Tavakoli, Davide Pigoli, John A. D. Aston
2017· article· en· Significance· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Recommended Reading
2014· article· en· Significance· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Racial bias in jury selection
Christopher Salahub
2023· article· en· Significance· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Does it pay to park in front of a fire hydrant?
Chris Andrade, Jonathan Auerbach, Icaro Bacelar, Hane Lee, Angela Tan, Mariana Vazquez +1 more
2023· article· en· Significance· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

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