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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 on data engineering and communications technologies
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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.

109 results · 1 filter active ·
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20162025
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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.
109 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 109 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 109 of 109 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
Smart Electrification of Rural Bangladesh Through Smart Grids
Dhrupad Debnath, Abdul Hasib Siddique, Mehedi Hasan, Fahim Faisal, Asif Karim, Sami Azam +1 more
2021· book-chapter· en· Lecture notes on data engineering and communications technologies· Engineering
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Computer Networks and Inventive Communication Technologies
S. Smys, Robert Bešťák, Ram Palanisamy, Ivan Kotuliak
2021· book· en· Lecture notes on data engineering and communications technologies· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
3-Party Adversarial Cryptography
Ishak Meraouche, Sabyasachi Dutta, Kouichi Sakurai
2020· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Users’ Search Satisfaction in Search Engine Optimization
Ramaraj Palanisamy, Yifan Liu
2019· book-chapter· en· Lecture notes on data engineering and communications technologies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Anomaly Detection with Generalized Isolation Forest
Brett E. Downey, Carson K. Leung, Adam G.M. Pazdor, Ryan A. L. Petrillo, Denys Popov, Benjamin R. Schneider
2024· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
An Artifact for Learning the TOGAF Architecture Development Method
Pierre Hadaya, Abderrahmane Leshob, Julien Nicolas de Verteuil
2019· book-chapter· en· Lecture notes on data engineering and communications technologies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
k-core Decomposition on Giraph and GraphChi
Xin Hu, Fangming Liu, Venkatesh Srinivasan, Alex Thomo
2017· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Dynamic Pricing for Parking Facility
Deyu Deng, Carson K. Leung, Adam G.M. Pazdor
2023· book-chapter· en· Lecture notes on data engineering and communications technologies· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Prototyping of Haptic Datagloves for Deafblind People
Patrick C. K. Hung, Kamen Kanev, Atsushi Nakamura, R Takeda, Hidenori Mimura, Masakatsu Kimura
2023· book-chapter· en· Lecture notes on data engineering and communications technologies· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
AI for Covid-19: Conduits for Public Health Surveillance
Chandana Unnithan, Jenny Hardy, N. Lilley
2020· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
NetFlow: Network Monitoring and Intelligence Gathering
Vivek Ratan, Kin Fun Li
2016· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Graphic Computational Thinking in Descriptive Geometry
Hang Yu, Shan Hongbo, Hongmin Cai, Yuanjun He, Wenjun Zhang
2022· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Identifying Prime Customers Based on MobileUsage Patterns
Deepali Arora, Kin Fun Li
2016· book-chapter· en· Lecture notes on data engineering and communications technologies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Leap Motion for Telerehabilitation: A Feasibility Study
Zhang Li, Kin Fun Li, Jingjing Lin, Jenna Ren
2018· book-chapter· en· Lecture notes on data engineering and communications technologies· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Stock Market Prediction Using Social Media Sentiments
Ayush Upadhyay, Harsh Jain, Prateek Dhingra, Nisha Kandhoul, Sanjay Kumar Dhurandher, Isaac Woungang
2024· book-chapter· en· Lecture notes on data engineering and communications technologies· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Multi-level Frequent Pattern Mining on Pipeline Incident Data
Connor C.J. Hryhoruk, Carson K. Leung, Jingyuan Li, Brandon A. Narine, Felix Wedel
2024· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

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