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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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IoT and Edge/Fog Computing
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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
venuejournal
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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.

1,711 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.
1,711 works in the cohort · of 4,299,418page 3 of 35

Labels cover 5 of 1,711 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 1,711 of 1,711 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
Semantics-Empowered Communications: A Tutorial-Cum-Survey
Zhilin Lu, Rongpeng Li, Kun Lü, Xianfu Chen, Ekram Hossain, Zhifeng Zhao +1 more
2023· article· en· IEEE Communications Surveys & Tutorials· Computer Science
machine prediction:candidate · noneconsensus · none
96
citations
affno abstractunlabeled
Research challenges in nextgen service orchestration
Luis M. Vaquero, Félix Cuadrado, Yehia Elkhatib, Jorge Bernal Bernabé, Satish Narayana Srirama, Mohamed Faten Zhani
2018· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
89
citations
venueno affunlabeled
A Secured Multi-Stages Authentication Protocol for IoT Devices
Ahmad Y. Alhusenat, Hamza Abu Owida, Hana A. Rababah, Jamal Al-Nabulsi, Suhaila Abuowaida
2023· article· en· Mathematical Modelling and Engineering Problems· Computer Science
machine prediction:candidate · noneconsensus · none
88
citations
affunlabeled
Cloud-dew architecture
Yingwei Wang
2015· article· en· International Journal of Cloud Computing· Computer Science
machine prediction:candidate · noneconsensus · none
86
citations
afffundunlabeled
Smart City System Design
Hadi Habibzadeh, Cem Kaptan, Tolga Soyata, Burak Kantarcı, Azzedine Boukerche
2019· review· en· ACM Computing Surveys· Computer Science
machine prediction:candidate · noneconsensus · none
81
citations
affunlabeled
Revisiting Edge AI: Opportunities and Challenges
Tobias Meuser, Lauri Lovén, Monowar Bhuyan, Shishir G. Patil, Schahram Dustdar, Atakan Aral +13 more
2024· article· en· IEEE Internet Computing· Computer Science
machine prediction:candidate · noneconsensus · none
79
citations
affunlabeled
A Survey on Edge Performance Benchmarking
Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi +1 more
2021· review· en· ACM Computing Surveys· Computer Science
machine prediction:candidate · noneconsensus · none
78
citations
afffundunlabeled
Big Data Privacy in Smart Farming: A Review
Mohammad Amiri-Zarandi, Rozita Dara, Emily Duncan, Evan Fraser
2022· review· en· Sustainability· Computer Science
machine prediction:candidate · noneconsensus · none
78
citations
affunlabeled
IoT Bugs and Development Challenges
Amir Makhshari, Ali Mesbah
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
77
citations

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