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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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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
Language
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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 6 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.

affno abstractunlabeled
TOC and Biomarkers Box_core_Figs2and7.xlsx
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
chriscnd.gsf
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
w50z10bw8.rtl
2021· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wtfa4.rtl
2021· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50an4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50z10bw3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ctfshdgrey.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50z10bw11.rtl
2022· dataset· da· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
c50vgbw2.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10_9.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50acbwt5.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw2.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50tf6.rtl
2021· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50z10_3.rtl
2021· dataset· en· 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)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
cshdgrya4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50ac8.rtl
2022· dataset· cs· 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)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50ac4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw8.rtl
2022· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50z10_11.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50an8.rtl
2022· dataset· oc· Geological Survey of Denmark and Greenland (GEUS)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw11.rtl
2022· dataset· da· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
21905_3.pdf
2022· dataset· de· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
c50vgbw7.rtl
2022· dataset· ru· 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
Tile_P_utils.py
2025· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wana4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50vgbw9.rtl
2021· dataset· en· 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)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw12.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Specter_utils.py
2025· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
w50tfbw4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50tf6.rtl
2022· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wi20cnd_b.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50acbw7.rtl
2022· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
21905-vol2.pdf
2022· dataset· pl· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tf3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50ac10.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50tf_4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wz10a4.rtl
2021· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10bw9.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50z10_7.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw6.rtl
2022· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50vg3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wtfa4.rtl
2021· dataset· es· 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)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Square_Array_ARF_Fig2.ipynb
2025· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
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
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