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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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Geological Survey of Denmark and Greenland (GEUS)
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Retraction
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Label status

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.

503 results · 1 filter active ·
Results by year
20202025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
503 works in the cohort · of 4,299,418page 3 of 11

Labels cover 0 of 503 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 503 of 503 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
cemraw.001
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
README.md
2025· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c250tfbw.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
wi20z10_b.rtl
2022· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50acbw6.rtl
2022· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50tfbw4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50vg4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wz10a4.rtl
2022· dataset· pl· Geological Survey of Denmark and Greenland (GEUS)· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tfbw4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50vg1.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tf7.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
21905-vol2.pdf
2021· dataset· pl· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
w50ac9.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
250anom.rtl
2021· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
terr.gxf
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c250vgbw.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
c50an1.rtl
2022· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c250acbw.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
RECMISC.TXT
2021· dataset· ca· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
w50acbw1.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wcvrpga4.rtl
2021· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
repeat.001
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50an6.rtl
2021· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wi20cnd.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
washvg.txt
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
chrisz10.gsf
2022· dataset· hu· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
21907.pdf
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10bw5.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10_6.rtl
2021· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50an2.rtl
2022· dataset· gd· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tfbw4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
250tfshd.rtl
2022· dataset· da· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
cemraw.001
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
c50z10bw7.rtl
2022· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wi20tf.rtl
2022· dataset· ca· Geological Survey of Denmark and Greenland (GEUS)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50z10bw7.rtl
2021· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50vgbw4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50ac2.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50z10_1.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50vgbw7.rtl
2021· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50an1.rtl
2021· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
witfa4.rtl
2022· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
christvg.txt
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
c50an3.rtl
2022· dataset· gd· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
chriscnd.gsf
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vg3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vg2.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10bw10.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10_1.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Sterol_data_NOW25c_Fig4.xlsx
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About