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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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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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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.

affaffiliation
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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.

290 results · 1 filter active ·
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20092025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
290 works in the cohort · of 4,299,418page 6 of 6

Labels cover 0 of 290 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 290 of 290 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
Assessing the SMAP Level-4 Carbon Product Over the Arctic and Subarctic Zones
Rémi Madelon, John S. Kimball, K. Arthur Endsley, Gabriëlle De Lannoy, Oliver Sonnentag, Haley Alcock +8 more
2025· article· en· IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
PID-CD: PID Control is What Change Detection Needs
Zhiwei Ỹe, Shirui Sheng, Qiyi He, Mingwei Wang, Chuan Xu, Zhina Song +3 more
2025· article· en· IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
IEEE GEOSCIENCE AND REMOTE SENSING SOCIETY
Paolo Gamba, D Kunkee, J. Chanussot, Lorenzo Bruzzone, John P. Kerekes, William J. Emery +27 more
2019· article· en· IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Foreword to the Special Issue on IGARSS 2012
Ya‐Qiu Jin, Motoyuki Sato, Yoshio Yamaguchi
2012· article· en· IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
IEEE Geoscience and Remote Sensing Societys
Paolo Gamba, D Kunkee, J. Chanussot, Lorenzo Bruzzone, John P. Kerekes, William J. Emery +27 more
2019· article· en· IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
NSANet: Noise-Seeking Attention Network
Maryam Jameela, Gunho Sohn
2024· article· en· IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About