MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Geological Survey of Denmark and Greenland (GEUS)
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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 9 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
c50tf2.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tfbw10.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50ac1.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50acbw3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w250vg_bw.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
w50vg9.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tf4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
21906.pdf
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50acbw8.rtl
2021· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50acbw5.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
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
w50tfbw10.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50acbw2.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vg6.rtl
2022· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
cz10a4.rtl
2022· dataset· pl· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wi20tf_b.rtl
2022· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w250z10.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50z10_13.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
w50tfbw3.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
w50tf8.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
chrisdtm.gsf
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wi20cond_b.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
j450plots.txt
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50z10_6.rtl
2021· dataset· bpy· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50z10_8.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c250ch10.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
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
affno abstractunlabeled
rempro.001
2022· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wshdgrya4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tf12.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50tfbw7.rtl
2021· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50tfbw11.rtl
2022· dataset· da· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
250tfx12.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50vgbw4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
wiz10_a4.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50tfbw4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
cshdca4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50vgbw3.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ARF_utils.cpython-311.pyc
2025· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wivg_a4.rtl
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
21910-vol2.pdf
2021· dataset· pl· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
w250vg_bw.rtl
2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w250shdtfgrey.rtl
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
w50tf12.rtl
2022· dataset· cs· 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)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
rec250sht.rtl
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
21907.pdf
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Plot_Penrose_Tiling_UniqueVertices.ipynb
2025· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
NUUK1.ARC
2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About