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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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Scientific Computing and Data Management
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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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venuejournal
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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.

2,034 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.
2,034 works in the cohort · of 4,299,418page 6 of 41

Labels cover 13 of 2,034 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 2,034 of 2,034 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.

afffundaboutunlabeled
The launch of Seismica: a seismic shift in publishing
C. D. Rowe, Matthew Agius, J. A. Convers, G. J. Funning, Carmine Galasso, Stephen Hicks +9 more
2022· article· en· Seismica· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
10
citations
affno abstractunlabeled
Computational Science and Its Applications -- ICCSA 2015
Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Marina L. Gavrilova, Ana Maria A. C. Rocha, Carmelo Maria Torre +2 more
2015· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Transactions on Computational Science VI
Marina L. Gavrilova
2009· book· en· Transactions on computational science· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
The space-for-time gambit fails a robust test
Amy L. Angert
2024· article· en· Proceedings of the National Academy of Sciences· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
10
citations
affunlabeled
Careers in Core Facility Management
Claire M. Brown
2018· review· en· Cold Spring Harbor Perspectives in Biology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
10
citations
affvenueaboutunlabeled
Open science precision medicine in Canada: Points to consider
Palmira Granados Moreno, Sarah E. Ali‐Khan, Benjamin Capps, Timothy Caulfield, Damien Chalaud, A.M. Edwards +17 more
2019· article· en· FACETS· Decision Sciences
machine prediction:candidate · open_scienceconsensus · none
9
citations
affno abstractunlabeled
Transactions on Computational Science XI
Marina L. Gavrilova, Edward David Moreno, C. J. Kenneth Tan
2010· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Writing Domain-Specific Languages for BeepBeep
Sylvain Hallé, Raphaël Khoury
2018· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Earth Virtualization Engines (EVE)
Björn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger +130 more
2023· preprint· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Twitter integration of chemistry software tools
Naruki Yoshikawa, Ryuichi Kubo, Kazuki Yamamoto
2021· article· en· Journal of Cheminformatics· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
AI and the Future of Creative Work
Patrick Parra Pennefather
2023· book-chapter· en· Design Thinking· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Safikhani et al. reply
Zhaleh Safikhani, Nehmé El-Hachem, Petr Smirnov, Mark Freeman, Anna Goldenberg, Nicolai J. Birkbak +4 more
2016· article· de· Nature· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Good enough practices in scientific computing
Greg Wilson, Jennifer Bryan, Karen Cranston, Justin Kitzes, Alexander J. Nederbragt, Tracy Teal
2017· preprint· en· PLoS Computational Biology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
8
citations
affno abstractunlabeled
Topic-based crossing-workflow fragment discovery
Zhangbing Zhou, Jinfeng Wen, Yasha Wang, Xiao Xue, Patrick C. K. Hung, Long D. Nguyen
2020· article· en· Future Generation Computer Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
The Case for Fine-Grained Stream Provenance.
Boris Glavic, Kyumars Sheykh Esmaili, Peter M. Fischer, Nesime Tatbul
2011· article· en· OPUS (Augsburg University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About