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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.

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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.

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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
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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 4 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.

affunlabeled
Plugging-in visualization
Rob Lintern, Jeff Michaud, Margaret‐Anne Storey, Xiaomin Wu
2003· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Will biologists become computer scientists?
Anne Condon, Claude Kirchner, Damien Larivière, Wallace F. Marshall, Vincent Noireaux, Tsvi Tlusty +1 more
2018· article· en· EMBO Reports· Decision Sciences
machine prediction:candidate · stsconsensus · none
19
citations
affunlabeled
Semantic Annotation of Mutable Data
Robert A. Morris, Lei Dou, James Hanken, Maureen Kelly, David Lowery, Bertram Ludäscher +2 more
2013· article· en· PLoS ONE· Decision Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Why data citation isn't working, and what to do about it
Peter Buneman, Greig Christie, Jamie A. Davies, Roza Dimitrellou, Simon D Harding, Adam J Pawson +2 more
2020· article· en· Database· Decision Sciences
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
18
citations
affunlabeled
Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao, Richard S. Sutton, Csaba Szepesvári
2009· article· en· Neural Information Processing Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badía, Venkat Bala, Deborah Bard, Peer‐Timo Bremer, Ian K. Buckley +99 more
2023· report· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Understanding software artifact provenance
Michael W. Godfrey
2013· article· en· Science of Computer Programming· Decision Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
sbi reloaded: a toolkit for simulation-based inference workflows
Jan Boelts, Michael Deistler, Manuel Gloeckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss +27 more
2025· article· en· The Journal of Open Source Software· Decision Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Scientific Software Design
Damian Rouson, Jim Xia, Xiaofeng Xu
2011· book· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
What makes a popular academic AI repository?
2021· article· en· Empirical Software Engineering· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
17
citations
affunlabeled
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badía, Venkat Bala, Debbie Bard, Peer‐Timo Bremer, Ian K. Buckley +96 more
2023· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
15
citations
aboutno affunlabeled
Orion
Semir Sarajlic, Neranjan Edirisinghe, Yuriy Lukinov, Walters Michael, Davis Brock, Gregori Faroux
2016· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Changing computational research. The challenges ahead
Cameron Neylon, Jan Aerts, C. Titus Brown, Simon J. Coles, Les Hatton, Daniel Lemire +8 more
2012· article· en· Source Code for Biology and Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
15
citations
affunlabeled
Reproducible Results Policy
David E. Rosenberg, Amber Spackman Jones, Yves Filion, Rebecca Teasley, Samuel Sandoval-Solís, James H. Stagge +4 more
2020· article· en· Journal of Water Resources Planning and Management· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
15
citations
affunlabeled
Ten simple rules for digital data storage
Edmund Hart, P. Barmby, David LeBauer, François Michonneau, Sarah Mount, Patrick Mulrooney +4 more
2016· preprint· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
15
citations
affno abstractunlabeled
Transactions on Computational Science X
Marina L. Gavrilova
2010· book· en· Transactions on computational science· Decision Sciences
machine prediction:candidate · noneconsensus · none
14
citations
affvenueaboutunlabeled
Web-based Citation Management Systems: Which One Is Best?
Michael Steeleworthy, Pauline Dewan
2013· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
14
citations
affunlabeled
Ten (not so) simple rules for clinical trial data-sharing
Claude Pellen, Anne Le Louarn, Gilliosa Spurrier‐Bernard, Évelyne Decullier, Jean‐Marie Chrétien, Éric Rosenthal +4 more
2023· review· en· PLoS Computational Biology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
14
citations
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