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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.

82,802 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.
82,802 works in the cohort · of 4,299,418page 5 of 1,657

Labels cover 111 of 82,802 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 82,802 of 82,802 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
The Einstein Toolkit
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
nipy/nibabel:
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
8
citations
affunlabeled
The Einstein Toolkit
2020· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
pyRiemann/pyRiemann: v0.3
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
nipy/nipype: 1.4.2
Oscar Estéban, Christopher J. Markiewicz, Hans J. Johnson, Erik Ziegler, Alexandre Manhães-Savio, Dorota Jarecka +171 more
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
8
citations
affunlabeled
An interactive meta-analysis of MRI biomarkers of myelin
Matteo Mancini, Agâh Karakuzu, Julien Cohen‐Adad, Mara Cercignani, Thomas E. Nichols, Nikola Stikov
2022· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
WulffHunter/log_generator v1.0.0
Jared Rand, Andriy Miranskyy
2021· preprint· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
fundno affunlabeled
3D/VR in the Academic Library: Emerging Practices and Trends
Jennifer Grayburn, Zack Lischer‐Katz, Kristina Golubiewski-Davis, Veronica Ikeshoji-Orlati
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affaboutunlabeled
TVCSnow 2017-2018 tundra snow depth probe measurements
Peter Toose, Joshua King, Arvids Silis, Chris Derksen
2020· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
numba/numba: 0.60.0
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
International RSE Survey 2022
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
OpenPIV/openpiv-python: OpenPIV-Python v0.22.3
Alex Liberzon, Davide Lasagna, Mathias Aubert, Peter Bachant, Erfan Mahmoodtabar, Theo Käufer +9 more
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
CamDavidsonPilon/lifelines: v0.21.1
2019· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
affunlabeled
astropy/astropy-v2.0-paper: final draft
2018· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
affunlabeled
nilearn
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
The Einstein Toolkit
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Microclimate, an inseparable part of ecology and biogeography
Julia Kemppinen, Jonas J. Lembrechts, Koenraad Van Meerbeek, Jofre Carnicer, Nathalie Isabelle Chardon, Paul Kardol +89 more
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
NASA TOPS Open Science 101
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · open_science+insufficient_payloadconsensus · none
7
citations
affunlabeled
The Einstein Toolkit
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
CLImate for Maize OMICS: CLIM4OMICS Analytics and Database
Parisa Sarzaeim, Hasnat Aslam, Francisco Muñoz‐Arriola
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
7
citations
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