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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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Target Tracking and Data Fusion in Sensor Networks
Retraction
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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.

812 results · 1 filter active ·
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20002025
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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.
812 works in the cohort · of 4,299,418page 12 of 17

Labels cover 1 of 812 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 812 of 812 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
Navigating by Means of a Position Potential
Benlin Xu, Petr Vaníček
2000· article· en· NAVIGATION Journal of the Institute of Navigation· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
navlie: A Python Package for State Estimation on Lie Groups
Charles Champagne Cossette, Mitchell Cohen, Vassili Korotkine, Arturo Del Castillo Bernal, Mohammed Shalaby, James Richard Forbes
2023· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Sensor Fusion
Jurek Z. Sąsiadek
2000· article· en· IFAC Proceedings Volumes· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Distributed ensemble Kalman filtering
Arslan Shahid, Deniz Üstebay, Mark Coates
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Probabilistic data association in high clutter environments
Ratnasingham Tharmarasa, T. Lang, Mike McDonald, T. Kirubarajan
2010· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
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How this was built: Screen · Findings · About