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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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ACM Transactions on Sensor Networks
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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
fundfunder
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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.

45 results · 1 filter active ·
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20072025
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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.
45 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 45 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 45 of 45 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
The GINSENG system for wireless monitoring and control
Tony O’Donovan, James Brown, Felix Büsching, Alberto Cardoso, José Cecílio, Jose Do Ó +12 more
2013· article· en· ACM Transactions on Sensor Networks· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
Activity recognition via user-trace segmentation
Jie Yin, Qiang Yang, Dou Shen, Ze-Nian Li
2008· article· en· ACM Transactions on Sensor Networks· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Partial network coding
Dan Wang, Qian Zhang, Jiangchuan Liu
2008· article· en· ACM Transactions on Sensor Networks· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
fundno affunlabeled
Maintenance of Smart Buildings using Fault Trees
Nathalie Cauchi, Khaza Anuarul Hoque, Mariëlle Stoelinga, Alessandro Abate
2018· article· en· ACM Transactions on Sensor Networks· Decision Sciences
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Broadcast-Enhanced Key Predistribution Schemes
Michelle Kendall, Keith M. Martin, Siaw‐Lynn Ng, Maura B. Paterson, Douglas R. Stinson
2014· article· en· ACM Transactions on Sensor Networks· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
On mobile sensor assisted field coverage
Dan Wang, Jiangchuan Liu, Qian Zhang
2013· article· en· ACM Transactions on Sensor Networks· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
CRONOS
Ala Shaabana, Rong Zheng
2019· article· en· ACM Transactions on Sensor Networks· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
GreenLocs
Nam Nguyen, Rong Zheng, Jie Liu, Zhu Han
2015· article· en· ACM Transactions on Sensor Networks· Engineering
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About