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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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Lecture notes in electrical engineering
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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.

224 results · 1 filter active ·
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20082025
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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.
224 works in the cohort · of 4,299,418page 2 of 5

Labels cover 1 of 224 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 224 of 224 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
High Impedance Fault Arc Modeling—A Review
P. Rini Varghese, Cijo Mathew, S. Thomas George, N. J. Sairamya
2023· book-chapter· en· Lecture notes in electrical engineering· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
IOT and AI Integration for Smart Prosthetic Limb Systems
Zainab Imad Altamimi, Ali Fenjan, Noor T. Al-Sharify, Mohammad K. Abdul-Hussein, Ahmed Dheyaa Radhi, Saadaldeen Rashid Ahmed +3 more
2025· book-chapter· en· Lecture notes in electrical engineering· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affno abstractunlabeled
PID and ANFIS Control Design for Quarter-Car Passive Suspension System
Ashwani Kharola, Vishwjeet Choudhary, Tarun Kumar Dhiman, Deepak Juyal, Yogesh Bhatt, Namra Gusain +1 more
2024· book-chapter· en· Lecture notes in electrical engineering· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Multi Sensorial Stimulation Lab: A New Approach for Severe Dementia
Alberto Boccadamo, Alessandra De Luca, Luca Palamà, Daniele Sancarlo, Alessandro Leone, Giovanni Diraco +7 more
2021· book-chapter· en· Lecture notes in electrical engineering· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Using RC4-BHF to Construct One-way Hash Chains
Qian Yu, Chang N. Zhang
2013· book-chapter· en· Lecture notes in electrical engineering· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
Emerging Electronics and Automation
Moncef Gabbouj, Shyam S. Pandey, Hari Krishna Garg, Ranjay Hazra
2024· book· en· Lecture notes in electrical engineering· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Lunar Robotics Evolution and Innovative Design
S. Kalaycioglu, Anton de Ruiter, Ampere A. Tseng, Haipeng Xie
2025· book-chapter· en· Lecture notes in electrical engineering· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
MAS: A Machine Learning Framework for Aerospace Systems
Noman Hossain, Niaz Ashraf Khan, Zareen Tasneem, Farjana Islam, Feroz Ahmed
2025· book-chapter· en· Lecture notes in electrical engineering· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About