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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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Geological Survey of Denmark and Greenland (GEUS)
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Retraction
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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.

503 results · 1 filter active ·
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20202025
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
503 works in the cohort · of 4,299,418page 2 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
c250tfbw.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
acz.gxf
2022· dataset· pl· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50z10_12.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w250z10bw.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
reca4sht.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
250dtmm.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50ac7.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50ac13.rtl
2022· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10_13.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50an4.rtl
2022· dataset· gd· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50tfbw2.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50an8.rtl
2021· dataset· ta· Geological Survey of Denmark and Greenland (GEUS)· Medicine
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
affno abstractunlabeled
w50z10_4.rtl
2022· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
crpta4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w250vg.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50an9.rtl
2022· dataset· gd· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
christtf.gsf
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wifp_a4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
washcnd.gsf
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Specter_utils.cpython-39.pyc
2025· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wi20z10.rtl
2021· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50tf6.rtl
2021· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w250tf.rtl
2021· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w250cnd.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50an6.rtl
2022· dataset· mt· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
chrisz10.gsf
2021· dataset· hu· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw11.rtl
2022· dataset· da· Geological Survey of Denmark and Greenland (GEUS)· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50z10_3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c250an.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w250z10_bw.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50an3.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vg7.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tf5.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tf7.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
cshdca4.rtl
2022· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50z10bw5.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vg5.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
NUUKVG.GRD
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w250z10.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
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
w50z10_7.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wi20tf.rtl
2022· dataset· ca· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wshdca4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wshdgrya4.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
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