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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.

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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 28 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.

affno abstractunlabeled
The French ICOS ecosystems stations : an overview
S. Lafont, Denis Loustau, Tiphaine Tallec, Damien Bonal, Abad Chabbi, Sébastien Conil +7 more
2015· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
AI for IoT and OT Security
Dilli Prasad Sharma, Arash Habibi Lashkari, Mahdi Daghmehchi Firoozjaei, Samaneh Mahdavifar, Pulei Xiong
2025· book-chapter· en· Progress in IS· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Smart Cities and IoT Integration
Seyed Navid Mashhadi Moghaddam, Huhua Cao
2024· book-chapter· en· City development· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
D3.3 – HYPER-AI Specifications and Architecture
Papataxiarhis Vassilis, Loukeris Michael, Deligiannakis Nektarios, Kechriniotis Panagiotis, Thanasis Moustakas, Bampis Manos +15 more
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
D3.3 – HYPER-AI Specifications and Architecture
Papataxiarhis Vassilis, Loukeris Michael, Deligiannakis Nektarios, Kechriniotis Panagiotis, Thanasis Moustakas, Bampis Manos +15 more
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Trust Management System in Internet of Things: A Survey
Meghana Lokhande, Dipti D. Patil, Sonali Kothari, Shital Pawar, Shweta Koparde
2023· article· en· International Journal of Safety and Security Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About