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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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scientometrics and bibliometrics research
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,100 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.
2,100 works in the cohort · of 4,299,418page 31 of 42

Labels cover 193 of 2,100 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 2,100 of 2,100 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.

venueno affunlabeled
Book Reviews
2015· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
The Economics Of Science (book Review)
D. Wade Hands
2000· article· en· Sound Ideas (University of Puget Sound)· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
aboutno affunlabeled
Peer review declaration
2021· article· en· Journal of Physics Conference Series· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
See You in Toronto!
2011· article· en· Chemical & Engineering News· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Bibliometrics
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affunlabeled
Impact of In-text Citations on Journal Rankings
2022· article· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
venueno affunlabeled
Send us your null results
Andrew Piper
2020· article· en· Journal of Cultural Analytics· Decision Sciences
machine prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · none
0
citations
affunlabeled
Report from the Participation in the Current System Workgroup
Nancy Davenport, Barbara DeFelice, Gary Evoniuk, Pollyanne Frantz, Julie Hannaford, Jeff Mackie-Mason +5 more
2016· article· en· Open Scholarship Initiative Proceedings· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
fundno affunlabeled
Facteur d’impact
Vincent Larivière
2015· book-chapter· fr· Presses de l’Université de Montréal eBooks· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
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How this was built: Screen · Findings · About