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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.

affaffiliation
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venuejournal
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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
Evidence
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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 11 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
FAIR Header Reference genome: a TRUSTworthy standard
Adam Wright, Mark D. Wilkinson, Chris Mungall, Scott Cain, Stephen Richards, Paul W. Sternberg +7 more
2024· article· en· Briefings in Bioinformatics· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
1
citations
aboutno affunlabeled
Making the case for web-based self-archiving
Stevan Harnad
2005· article· en· ePrints Soton (University of Southampton)· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
1
citations
affno abstractunlabeled
Binning high-resolution data
Martin Krzywinski
2016· article· en· Nature Methods· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
SIGWEB
Ethan V. Munson
2010· article· en· ACM SIGWEB Newsletter· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueaboutno affunlabeled
Report From the Field: The RICTA Meeting Video
Susan O’Donnell, Brian Walmark, Cal Kenny
2005· article· en· The Journal of Community Informatics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Data Access in Canada: CivicAccess.ca
Tracey P. Lauriault, Hugh McGuire
2008· article· en· The Sydney eScholarship Repository (The University of Sydney)· Computer Science
machine prediction:candidate · scholarly_communication+open_science+insufficient_payloadconsensus · none
1
citations
affaboutunlabeled
Institutional RDM Strategy Survey Report
Lucia Costanzo, Alexandra Cooper
2022· report· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
1
citations
affunlabeled
The DataLad Handbook
2023· book· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · open_scienceconsensus · none
1
citations
affno abstractunlabeled
Implementing recommendations from the FAIR consensus: where do we start?
Carly McKay, Oluwatoyosi B. A. Owoeye, Brooke Patterson, Clare L. Ardern, Merete Møller, Kay M. Crossley +1 more
2025· article· en· British Journal of Sports Medicine· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
1
citations
fundno affunlabeled
Research Data: The Future of FAIR White paper
Varsha Khodiyar, Heidi Laine, David O'Brien, Raul Rodriguez‐Esteban, Yasemin TÃ ⁄ rkyilmaz-van der Velden, Grace Baynes +10 more
2021· article· en· Figshare· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
1
citations
affunlabeled
SSHOC D8.2 Certification plan for SSHOC repositories
Mari Kleemola, Tuomas J. Alaterä, N.L. Koski, Birger Jerlehag, Hervé L’Hours, Franciska de Jong +6 more
2020· article· en· KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)· Computer Science
machine prediction:candidate · open_scienceconsensus · none
1
citations
affunlabeled
Exploring Data Provenance in Handwritten Text Recognition Infrastructure: Sharing and Reusing Ground Truth Data, Referencing Models, and Acknowledging Contributions. Starting the Conversation on How We Could Get It Done
Christel Annemieke Romein, Tobias Hodel, Femke Gordijn, Joris van Zundert, Alix Chagué, Milan van Lange +54 more
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · open_scienceconsensus · none
1
citations
affunlabeled
2023 NMDC Ambassador Presentations
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
1
citations

How this was built: Screen · Findings · About