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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.

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 37 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.

aboutno affunlabeled
ScholCommLab to be a "Force" at FORCE2018
Alice Fleerackers
2018· preprint· en· Computer Science
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
The Canadian Information Ecosystem
Aengus Bridgman, Alexei Abrahams, Thomas Bergeron, thomas galipeau, Blake Lee‐Whiting, Haaya Naushan +7 more
2024· preprint· en· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
The Metadata Game
Ted Habermann
2019· preprint· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Powering FAIR with rich metadata
Alexandre Bédard-Vallée
2025· report· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
afffundaboutgemma · metaresearch+bibliometricsgpt · open_sciencemodels split
An infographic of data sharing in North America
Amédé Gogovor
2022· preprint· en· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
aboutno affunlabeled
Conference presentations
Peter Suber
2004· preprint· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Presentations on open data
Peter Suber
2007· preprint· en· Computer Science
machine prediction:candidate · open_science+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
CLA signs Berlin Declaration
Peter Suber
2005· preprint· en· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
aboutno affunlabeled
The Metadata Game
Ted Habermann
2019· article· Computer Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
OA and digital science
Peter Suber
2006· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Canadian Research Data Centre Network
Raymond F. Currie
2023· book-chapter· en· Computer Science
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Collaboration Platforms
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About