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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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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.

2,427 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.
2,427 works in the cohort · of 4,299,418page 30 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
CMOL FPGA circuits
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Assessing needs and developing solutions
Ofira Schwartz-Soicher, Michele Hayslett
2024· article· en· IASSIST Quarterly· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
affunlabeled
Reuse repositories and reuse
Dave Thomas, Brian Barry, Ivar Jacobson, Linda Northrop, Clemens Szyperski
2003· article· en· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Access to scientific data: The Social and Technical Challenges and strategies
John D’Ignazio, Jian Qin, Yale M. Braunstein, Caroline Whitbeck, M. A. Parsons, T. E. Eastman +1 more
2006· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
aboutno affunlabeled
Citação a dados abertos de pesquisa em normas técnicas
Sônia Oliveira Matos Moutinho, Maria Cláudia Cabrini Grácio, Carla Mara Hilário Carassa, Dietmar Wolfram
2025· article· AtoZ novas práticas em informação e conhecimento· Computer Science
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
0
citations
afffundunlabeled
Culture of Communication Workgroup Report
Barbara DeFelice, Susan Haigh, Barrett Matthews, Dan Morgan, Eric L Olson, Leslie J. Reynolds +3 more
2017· article· en· Open Scholarship Initiative Proceedings· Computer Science
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
Inquiry of Research Networks in Canada and Europe
Mitsutoshi WADA
2000· article· en· Journal of Information Processing and Management· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
0
citations
afffundvenueaboutgemma · open_sciencegpt · open_sciencemodels agree
Open Science at the University of Toronto
Madelin Burt-D'Agnillo, Mindy Thuna
2025· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Computer Science
machine prediction:candidate · open_scienceconsensus · none
0
citations
aboutno affunlabeled
ScholCommLab November Conference Blitz
Alice Fleerackers
2019· preprint· en· Computer Science
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About