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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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Zenodo (CERN European Organization for Nuclear Research)
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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 13 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
Global Phytoplankton Phenological Indices - 25km resolution
Sarah Nicholson, Tommy Ryan-Keogh, Sandy Thomalla, Nicolette Chang, Marié Smith
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
pytroll/satpy: Version 0.25.1
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
SunPy
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
joshspeagle/dynesty: v1.2.2
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
joshspeagle/dynesty: v3.0.0
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
tardis-sn/tardis: TARDIS v3.0.dev3459
2020· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Unidata/cftime: version 1.6.2 release
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
phylotastic/datelife: datelife v0.6.7
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Ouranosinc/xclim: v0.37.0
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Antibody Characterization Report for Rab-1A and Rab-1B
Vera Ruíz Moleón, Maryam Fotouhi, Joël Ryan, Riham Ayoubi, Sara González Bolívar, Wolfgang Reintsch +4 more
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Vancouver Statement on Collections as Data
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
3
citations
affunlabeled
The Einstein Toolkit
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
nipy/nipype: 0.14.0
2017· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
neurostuff/NiMARE: 0.0.12rc5
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Integrating Archaeological Datasets: the ARIADNE Portal.
Paola Ronzino, Achille Felicetti, Sara Di Giorgio
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · open_scienceconsensus · none
3
citations
affunlabeled
Ouranosinc/xclim: v0.40.0
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
a-callahan/MechWolf_Pull 0.1.1
Benjamin Lee, amijalis, littleblackfish, NLPohl
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
SuperDARN/pydarn: pyDARN v2.2.1
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
SunPy
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
joelz575/swatplus: None
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations

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