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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 41 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.

aboutno affunlabeled
Stenostomum virginianum Nuttycombe 1931
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
music-encoding/music-encoding: MEI 5.0
2023· standard· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Origins of the Ṭūsī-Couple Revisited
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
nipy/nipype: 1.4.0
2019· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
CJM_Supplement: Final supplementary code and data
Gregory B. Gloor
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Replication package for "WIA-SZZ: Work Item Aware SZZ"
Salomé Perez-Rosero, Robert Dyer, Samuel W. Flint, Shane McIntosh, Witawas Srisa‐an
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
ligo-cbc/pycbc: Post-O2 Production Release 2
2017· other· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Institutional RDM Strategy Survey Report
Lucia Costanzo, Alexandra Cooper
2022· report· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
1
citations
affunlabeled
Ecological networks analyses in Julia
2020· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The potential for natural forest regeneration in tropical regions
Brooke Williams, Hawthorne L. Beyer, Matthew E. Fagan, Robin L. Chazdon, Marina Schmoeller, Starry Sprenkle-Hyppolite +12 more
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
moustakas/legacyhalos: v1.4
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
nanograv/PINT: v1.0.0
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Uproot
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
bhklab/pyKuLGaP: v1.0.0
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
geopandas/geopandas: v0.14.0
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
RM-Tools: Software for Analyzing Polarized Radio Spectra
Cameron L. Van Eck, Cormac Purcell, Makhuduga Lerato Lydia Sebokolodi, A. J. M. Thomson, Yik Ki, Lindsey Oberhelman +16 more
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
pydata/xarray: v0.19.0
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
HGG-oncohistones processed data
Selin Jessa, Steven Hébert, Claudia L. Kleinman
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Data for LakeM2ARS Simulations
2025· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
xclim: xarray-based climate data analytics
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
NHERI-SimCenter/pelicun: v3.1
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
yakavetsiv/ml-mf_chemo: Release 1.0
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
1
citations
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