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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 3 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.

affno abstractunlabeled
Facilitating open exchange of data and information
James Gallagher, John A. Orcutt, Pauline Simpson, Dawn J. Wright, Jay Pearlman, Lisa Raymond
2015· article· en· Earth Science Informatics· Computer Science
machine prediction:candidate · open_scienceconsensus · none
22
citations
affunlabeled
Core Trustworthy Data Repositories Requirements
Rorie Edmunds, Hervé L’Hours, Lesley Rickards, Paul Trilsbeek, Mary Vardigan, Mustapha Mokrane
2016· article· en· MPG.PuRe (Max Planck Society)· Computer Science
machine prediction:candidate · metaresearchconsensus · none
20
citations
affgemma · metaresearch+research_integritygpt · metaresearch+open_science+research_integritymodels split
IMPACT Observatory: tracking the evolution of clinical trial data sharing and research integrity
Karmela Krleža-Jerić, Mirko Gabelica, Rita Banzi, Marina Krnić-Martinić, Bibiana Pulido, Mersiha Mahmić-Kaknjo +4 more
2016· review· en· Biochemia Medica· Computer Science
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
19
citations
affno abstractunlabeled
Quality or quantity? Questions on the growth of global scientific production
Ivan David Lozada‐Martínez, María Paz Bolaño-Romero, Yelson Alejandro Picón‐Jaimes, Luis Rafael Moscote‐Salazar, Alexis Rafael Narvaez‐Rojas
2022· letter· en· International Journal of Surgery· Computer Science
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
18
citations
fundno affunlabeled
The need and drive for open data in biomedical publishing
Iain Hrynaszkiewicz
2011· article· en· Serials The Journal for the Serials Community· Computer Science
machine prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · metaresearch
16
citations
afffundunlabeled
A trust approach for sharing research reagents
A.M. Edwards, Max Morgan, Arij Al Chawaf, Kerry Andrusiak, Rachel L. Charney, Zarya Cynader +5 more
2017· review· en· Science Translational Medicine· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
15
citations
afffundunlabeled
Open science and community norms
Yann Joly, Edward S. Dove, Karen L. Kennedy, Martin Bobrow, B. F. Francis Ouellette, Stephanie O. M. Dyke +1 more
2012· article· en· Medical Law International· Computer Science
machine prediction:candidate · open_scienceconsensus · none
15
citations
venueno affunlabeled
Some Key Challenges for Data Literacy
Mark S. Frank, Johanna Walker
2016· article· en· The Journal of Community Informatics· Computer Science
machine prediction:candidate · metaresearchconsensus · none
14
citations
affunlabeled
International development of the SI in FAIR digital data
Stuart Chalk, Diego Nahuel Coppa, F. Flamenco, Alistair Forbes, B. D. Hall, R. J. Hanisch +4 more
2021· article· en· Measurement Sensors· Computer Science
machine prediction:candidate · open_scienceconsensus · none
14
citations
affunlabeled
Managing evidence in food safety and nutrition
Ermanno Cavalli, M. B. Gilsenan, Jane Van Doren, Danica Grahek‐Ogden, Jane Richardson, Fabrizio Abbinante +14 more
2019· article· en· EFSA Journal· Computer Science
machine prediction:candidate · metaresearchconsensus · metaresearch
14
citations
affunlabeled
Library Carpentry: Software Skills Training for Library Professionals
James Baker, Caitlin Moore, Ernesto Priego, Raquel Alegre, Jez Cope, Ludi Price +3 more
2016· article· en· LIBER Quarterly The Journal of the Association of European Research Libraries· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
14
citations
affunlabeled
Licensing Revisited: Open Access Clauses in Practice
Birgit Schmidt, Kathleen Shearer
2012· article· en· LIBER Quarterly The Journal of the Association of European Research Libraries· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
14
citations
venueno affgemma · metaresearch+scholarly_communication+open_sciencegpt · metaresearch+scholarly_communication+open_sciencemodels agree
Evaluating and Promoting Open Data Practices in Open Access Journals
Eleni Castro, Mercè Crosas, Alex Garnett, Kasey Sheridan, Micah Altman
2017· article· en· Journal of Scholarly Publishing· Computer Science
machine prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · metaresearch
13
citations
afffundunlabeled
A roadmap for equitable reuse of public microbiome data
Laura A. Hug, Roland Hatzenpichler, Cristina Moraru, André Soares, Folker Meyer, Anke Heyder +221 more
2025· review· en· Nature Microbiology· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
13
citations

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