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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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Geoscientific instrumentation, methods and data systems
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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.

32 results · 1 filter active ·
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20122025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
32 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 32 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 32 of 32 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.

afffundunlabeled
Low-noise permalloy ring cores for fluxgate magnetometers
David M. Miles, Miroslaw Ciurzynski, David Barona, B. Barry Narod, J. R. Bennest, A. Kale +4 more
2019· article· en· Geoscientific instrumentation, methods and data systems· Engineering
machine prediction:candidate · noneconsensus · none
50
citations
affunlabeled
Magnetic airborne survey – geophysical flight
Erick camara, Suze Nei Pereira Guimarães
2016· article· en· Geoscientific instrumentation, methods and data systems· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
In situ calibration of the Swarm-Echo magnetometers
Robert M. Broadfoot, David M. Miles, Warren Holley, Andrew Howarth
2022· article· en· Geoscientific instrumentation, methods and data systems· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
17
citations
aboutno affunlabeled
Brewer spectrometer total ozone column measurements in Sodankylä
Tomi Karppinen, Kaisa Lakkala, Juha Matti Karhu, Pauli Heikkinen, Rigel Kivi, E. Kyrö
2016· article· en· Geoscientific instrumentation, methods and data systems· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Auroral spectral estimation with wide-band color mosaic CCDs
B. J. Jackel, Craig Unick, M. T. Syrjäsuo, Noora Partamies, J. A. Wild, E. E. Woodfield +3 more
2014· article· en· Geoscientific instrumentation, methods and data systems· Environmental Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Auroral meridian scanning photometer calibration using Jupiter
B. J. Jackel, Craig Unick, F. Creutzberg, G. J. Baker, Eric Davis, E. Donovan +5 more
2016· article· en· Geoscientific instrumentation, methods and data systems· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About