affno abstractunlabeled
c250an.rtl2022· dataset· gd· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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.
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.
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 10 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
w50ac7.rtl2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c250acbw.rtl2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vg13.rtl2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50vg3.rtl2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
reca4sht.rtl2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
wi20z10_b.rtl2021· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
w50ac8.rtl2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
c50tfbw1.rtl2021· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
w50vgbw8.rtl2022· dataset· fr· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
c50acbw1.rtl2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
GrIS_flow_aware_hillshade.m2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
temperature.csv2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_subglacial_geologic_provinces.qml2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
GrIMP_100m_flow_hillshade_z200.tif2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_subglacial_geologic_provinces.gpkg2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
GrIS_surface_lineations.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_Moho_boundaries.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Greenland_subglacial_geologic_province_boundaries.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
temperature.csv2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_topographic_boundaries.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
meta.csv2024· dataset· es· Geological Survey of Denmark and Greenland (GEUS)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
boreholes.gpkg2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
meta.csv2022· dataset· es· Geological Survey of Denmark and Greenland (GEUS)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
boreholes.gpkg2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_S-wave_10km_boundaries.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
boreholes.gpkg2023· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_magnetic_boundaries.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
meta.csv2023· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
boreholes.kml2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_gravity_boundaries.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
temperature_dnorm.csv2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_surface_boundaries.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
temperature.csv2023· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
GrIMP_150m_flow_hillshade_z200.tif2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
boreholes.kml2023· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Darbyshire_2018_Moho_depth.tif2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
boreholes.kml2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_subglacial_geologic_province_boundaries.qmd2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
meta.csv2024· dataset· es· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greenland_subglacial_geologic_provinces.zip2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
temperature_dnorm.csv2023· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
temperature_dnorm.csv2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Supplementary files for: Thermo-tectonic development of the Wandel Sea Basin, North Greenland2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
boreholes.kml2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Darbyshire_2018_S-wave_speed_10-km_depth.tif2024· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
SICEv3.0 Northern Arctic Canada snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, Near Real Time (NRT)2023· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
SICEv3.0 Southern Arctic Canada snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, Near Real Time (NRT)2023· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
w50tfbw13.rtl2022· dataset· cs· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
SICEv3.0 Alaska and Yukon snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, Near Real Time (NRT)2023· dataset· en· Geological Survey of Denmark and Greenland (GEUS)
machine prediction:candidate · noneconsensus · none
0
citations