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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.

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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 1 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.

fundno affgemma · bibliometrics+scholarly_communicationgpt · bibliometricsmodels split
<scp>SciMAT</scp>: A new science mapping analysis software tool
Manuel J. Cobo, A.G. López‐Herrera, Enrique Herrera‐Viedma, Francisco Herrera
2012· article· en· Journal of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
1,187
citations
afffundunlabeled
Best Practices for Scientific Computing
Greg Wilson, D. A. Aruliah, C. Titus Brown, Neil Chue Hong, M. Ryleigh Davis, Richard Guy +7 more
2014· article· en· PLoS Biology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
721
citations
affunlabeled
Good enough practices in scientific computing.
Greg Wilson, Jennifer Bryan, Karen Cranston, Justin Kitzes, Alexander J. Nederbragt, Tracy Teal
2017· article· en· PubMed· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
453
citations
afffundno abstractunlabeled
On scientific understanding with artificial intelligence
Mario Krenn, Robert Pollice, Si Yue Guo, Matteo Aldeghi, Alba Cervera-Lierta, Pascal Friederich +6 more
2022· review· en· Nature Reviews Physics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
348
citations
fundno affunlabeled
Software citation principles
Arfon M. Smith, Daniel S. Katz, Kyle E. Niemeyer
2016· article· en· PeerJ Computer Science· Decision Sciences
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
269
citations
affno abstractunlabeled
Computational Science and Its Applications - ICCSA 2006
Marina L. Gavrilova, David Taniar, Youngsong Mun, Antonio Laganà, Vipin Kumar, Osvaldo Gervasi +1 more
2006· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
261
citations
affunlabeled
GXL: toward a standard exchange format
Richard C. Holt, Andreas Winter, Andy Schürr
2002· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
235
citations
affgemma · metaresearchgpt · metaresearchmodels split
Threats of a replication crisis in empirical computer science
Andy Cockburn, Pierre Dragicevic, Lonni Besançon, Carl Gutwin
2020· article· en· Communications of the ACM· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
153
citations
affunlabeled
iHOP web services
José M. Fernández, Robert Hoffmann, Alfonso Valencia
2007· article· en· Nucleic Acids Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
Computational Science — ICCS 2002
P.M.A. Sloot, Jack Dongarra, C. J. Kenneth Tan, Alfons G. Hoekstra
2002· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
130
citations
affunlabeled
Sustainable computational science: the ReScience initiative
Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien Benureau, C. Titus Brown +38 more
2017· article· en· PeerJ Computer Science· Decision Sciences
machine prediction:candidate · open_scienceconsensus · none
127
citations
affno abstractunlabeled
Open code for open science?
Steve Easterbrook
2014· article· en· Nature Geoscience· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
105
citations
affunlabeled
The Eclipse 3.0 platform: Adopting OSGi technology
Olivier Gruber, B. J. Hargrave, Jeff McAffer, Pascal Rapicault, Tucker Watson
2005· article· en· IBM Systems Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
98
citations
venueno affunlabeled
Nine simple ways to make it easier to (re)use your data
Ethan P. White, Elita Baldridge, Zachary Brym, Kenneth J. Locey, Daniel J. McGlinn, Sarah R. Supp
2013· article· en· Ideas in Ecology and Evolution· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
86
citations
affunlabeled
Runtime Analysis of Whole-System Provenance
Thomas Pasquier, Xueyuan Han, Thomas Moyer, Adam Bates, Olivier Hermant, David Eyers +2 more
2018· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
84
citations
affunlabeled
Big Data Systems
Ali Davoudian, Mengchi Liu
2020· review· en· ACM Computing Surveys· Decision Sciences
machine prediction:candidate · noneconsensus · none
82
citations
affunlabeled
A survey on data provenance in IoT
Rui Hu, Zheng Yan, Wenxiu Ding, Laurence T. Yang
2019· article· en· World Wide Web· Decision Sciences
machine prediction:candidate · noneconsensus · none
63
citations

How this was built: Screen · Findings · About