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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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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.

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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 33 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.

affno abstractunlabeled
Simplify, simplify
James H. Morrissey, David Lillicrap
2019· editorial· en· Journal of Thrombosis and Haemostasis· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PAR
2014· article· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · 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
aboutno affunlabeled
data.rar
Rui Xin Huang, Lu‐Sha Yu, Sheng‐Qi Zhou
2020· dataset· en· Figshare· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
An award and a legacy
Riyad B. Abu‐Laban, Chris Evans
2011· article· en· Canadian Journal of Emergency Medicine· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
business plan esempio pratico pdf
2024· other· it· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
The art spirit pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Modeling a Century of Citation Distributions
Matthew L. Wallace, Vincent Larivière, Yves Gingras
2008· preprint· en· ArXiv.org· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
aboutno affunlabeled
Editorial Seminar.net Issue 3 Vol. 6
Yngve Nordkvelle
2010· article· en· Seminar net· Decision Sciences
machine prediction:candidate · bibliometrics+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About