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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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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.

2,427 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.
2,427 works in the cohort · of 4,299,418page 1 of 49

Labels cover 37 of 2,427 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 2,427 of 2,427 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 CARE Principles for Indigenous Data Governance
Stephanie Russo Carroll, Ibrahim Garba, Óscar Luis Figueroa Rodríguez, Jarita Holbrook, Raymond Lovett, S. A. Materechera +8 more
2020· article· en· Data Science Journal· Computer Science
machine prediction:candidate · open_scienceconsensus · none
1,206
citations
affunlabeled
FAIR Principles: Interpretations and Implementation Considerations
Annika Jacobsen, Ricardo de Miranda Azevedo, Nick Juty, Dominique Batista, Simon J. Coles, Ronald Cornet +38 more
2019· article· en· Data Intelligence· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
459
citations
affno abstractunlabeled
Value all research products
Heather Piwowar
2013· article· en· Nature· Computer Science
machine prediction:candidate · metaresearchconsensus · none
411
citations
affgemma · metaresearch+open_sciencegpt · scholarly_communication+open_sciencemodels split
The TRUST Principles for digital repositories
Dawei Lin, Jonathan Crabtree, Ingrid Dillo, Robert R. Downs, Rorie Edmunds, David Giaretta +13 more
2020· article· en· Scientific Data· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
390
citations
affunlabeled
Ocean FAIR Data Services
Toste Tanhua, Sylvie Pouliquen, Jessica Hausman, Kevin O’Brien, Pip Bricher, T. De Bruin +27 more
2019· article· en· Frontiers in Marine Science· Computer Science
machine prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · none
244
citations
affunlabeled
Mandated data archiving greatly improves access to research data
Tim Vines, Rose L. Andrew, Dan G. Bock, Michelle T. Franklin, Kimberly J. Gilbert, Nolan C. Kane +6 more
2013· article· en· The FASEB Journal· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
197
citations
affunlabeled
The Tao of open science for ecology
Stephanie E. Hampton, Sean Anderson, Sarah C. Bagby, Corinna Gries, Xueying Han, Edmund Hart +9 more
2015· article· en· Ecosphere· Computer Science
machine prediction:candidate · open_scienceconsensus · none
195
citations
affunlabeled
The Confidence Database
Dobromir Rahnev, Kobe Desender, Alan Lee, William T. Adler, David Aguilar‐Lleyda, Başak Akdoğan +77 more
2020· article· en· Nature Human Behaviour· Computer Science
machine prediction:candidate · metaresearchconsensus · none
161
citations
affunlabeled
Archiving Primary Data: Solutions for Long-Term Studies
James A. Mills, Céline Teplitsky, Beatriz Arroyo, Anne Charmantier, Peter Becker, T. R. Birkhead +57 more
2015· review· en· Trends in Ecology & Evolution· Computer Science
machine prediction:candidate · metaresearchconsensus · metaresearch
129
citations
afffundunlabeled
Ten Simple Rules for Digital Data Storage
Edmund Hart, P. Barmby, David LeBauer, François Michonneau, Sarah Mount, Patrick Mulrooney +4 more
2016· editorial· en· PLoS Computational Biology· Computer Science
machine prediction:candidate · metaresearchconsensus · none
105
citations
affno abstractunlabeled
Ecological Data Should Not Be So Hard to Find and Reuse
Timothée Poisot, Anne Bruneau, Andrew Gonzalez, Dominique Gravel, Pedro R. Peres‐Neto
2019· article· en· Trends in Ecology & Evolution· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
89
citations
afffundunlabeled
Closing the knowledge‐action gap in conservation with open science
Dominique G. Roche, Rose E. O’Dea, Kecia A. Kerr, Trina Rytwinski, Richard Schuster, Vivian M. Nguyen +3 more
2021· article· en· Conservation Biology· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
74
citations
affunlabeled
Will It Ever Be FAIR?
Chris Nicholson, Sarah Whitcher Kansa, Neha Gupta, Rachel Fernandez
2023· article· en· Advances in Archaeological Practice· Computer Science
machine prediction:candidate · open_scienceconsensus · none
64
citations
affunlabeled
Archival Records and Training in the Age of Big Data
Richard Marciano, Victoria L. Lemieux, Mark Hedges, María Esteva, William Underwood, Michael J. Kurtz +1 more
2018· book-chapter· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
60
citations
affunlabeled
Data, disciplines, and scholarly publishing
Christine L. Borgman
2007· article· en· Learned Publishing· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
60
citations
affno abstractunlabeled
Open science
Michael G. Bertram, Josefin Sundin, Dominique G. Roche, Alfredo Sánchez‐Tójar, Eli S.J. Thoré, Tomas Brodin
2023· article· en· Current Biology· Computer Science
machine prediction:candidate · open_science+insufficient_payloadconsensus · none
56
citations
afffundvenueunlabeled
Envisioning the scientific paper of the future
Natalie Sopinka, Laura E. Coristine, Maria C. DeRosa, Chelsea M. Rochman, Steven J. Cooke
2020· article· en· FACETS· Computer Science
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
52
citations
affunlabeled
Making an Issue out of a Standard
Florence Millerand, David Ribes, Karen S. Baker, Geoffrey C. Bowker
2012· article· en· Science Technology & Human Values· Computer Science
machine prediction:candidate · stsconsensus · none
48
citations

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