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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 26 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
The spectrum of early career physics
Chao‐Hui Feng, Emily Moravec, Tomasz Raducha, Orad Reshef, Chandrasekar Sivakumar, LaNell A. Williams
2021· review· en· Nature Reviews Physics· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
1
citations
affunlabeled
TCA Benchmarks: <i>One or Many?</i>
Chris Sparrow
2009· article· he· The Journal of Trading· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Report from the "What Is Open?" Workgroup
Rick Anderson, Seth Denbo, Diane J Graves, Susan Haigh, Steven P. Hill, Martin R. Kalfatovic +5 more
2016· article· en· Open Scholarship Initiative Proceedings· Decision Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
1
citations
afffundvenueaboutunlabeled
The state of green open access in Canadian universities
Poppy Riddle, Marc‐André Simard, Keshava Pallavi Gone, Vinson Li, Philippe Mongeon
2023· article· en· Canadian Journal of Information and Library Science· Decision Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
1
citations
affunlabeled
ORCID education: a departmental approach
Alissa Droog, Laura Bredahl
2021· article· en· Library Hi Tech News· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
1
citations
afffundvenueaboutgemma · metaresearch+bibliometricsgpt · bibliometrics+metaresearchmodels split
An Examination of Bibliometrics in Calls for Major Canadian Research Awards
Krista Louise Alexander, Sean McLaughlin
2019· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
1
citations
venueno affunlabeled
Exploring Author Similarity Using Citing Discipline Analysis
Daisy Jacobs, Dietmar Wolfram
2016· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
1
citations
aboutno affunlabeled
Journal impact factors - The good, the bad, and the ugly
D.F. Malan
2022· article· en· Journal of the Southern African Institute of Mining and Metallurgy· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
1
citations
venueno affunlabeled
Special Issue on Open Access
Marguerite Avery, Alex Holzman, Robert Brown
2017· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
1
citations

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