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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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 27 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.

afffundvenueunlabeled
How do you write and present research well? 18—Publish and flourish
Gregory S. Patience, Daria C. Boffito, Mohammad Jaber Darabi-Mahboub, Mathew King, Paul A. Patience
2016· article· en· The Canadian Journal of Chemical Engineering· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueno affunlabeled
They Rejected My Paper: Why?
Dah John, Norhayati Hussin, Mohd Sazili Shahibi, Linda Isaac Helda, Divine Senanu Ametefe, Abdulmalik Adozuka Aliu +1 more
2024· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
afffundaboutgemma · metaresearch+scholarly_communicationgpt · metaresearch+scholarly_communication+research_integritymodels split
Techniques predatory journals use to solicit manuscripts: a contrast between Africa (lower- income countries) and Canada (high income country)
Rumana Rafiq, Scholastic Ashaba, Geoffrey Wechuli, Robert Bortolussi, Noni E. MacDonald
2022· preprint· en· Research Square· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+research_integrityconsensus · none
1
citations
aboutno affunlabeled
Serendipity
B. Tommie Usdin
2011· article· en· Balisage series on markup technologies· Decision Sciences
machine prediction:candidate · bibliometrics+insufficient_payloadconsensus · none
1
citations
affunlabeled
Weak interactions
Joseph I. Kapusta, Charles Gale
2023· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
[no title]
C. N. Vakil
2019· article· fr· PubMed· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
fundvenueno affunlabeled
Bibliodiversity of Small Academic Publishers
Roberto Cruz Romero, Dimity Stephen, Stephan Stahlschmidt
2025· article· en· Canadian Journal of Information and Library Science· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
1
citations
affunlabeled
Women—An Open Access Journal
Mary V. Seeman
2021· article· en· Women· Decision Sciences
machine prediction:candidate · open_scienceconsensus · none
1
citations
affno abstractunlabeled
The Sources of Researcher Variation in Economics
Nick Huntington‐Klein, Claus C. Pörtner, Yubraj Acharya, Matúš Adamkovič, Joop Adema, Lameck Ondieki Agasa +113 more
2025· preprint· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
1
citations

How this was built: Screen · Findings · About