MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Lecture notes in control and information sciences
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

136 results · 1 filter active ·
Results by year
20032025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
136 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 136 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 136 of 136 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
Robust control of a synchronous power generator
Matei Kelemen, Aimé Francis Okou, Ouassima Akhrif, Louis‐A. Dessaint
2007· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Robust Control of Smart Material-based Actuators
Sina Valadkhan, Kirsten Morris, Amir Khajepour
2007· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Navigation of Autonomous Mobile Robots - Invited Paper
Jurek Z. Sąsiadek, Yi Lu, Vladimir Polotski
2007· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
System Identification: Conventional Approach
Biao Huang, Ramesh Kadali
2008· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Approximate solutions to continuous stochastic games
Michèle Breton, Pierre L’Ecuyer
2006· book-chapter· en· Lecture notes in control and information sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Distributed Coordination Theory for Robot Teams
Ashton Roza, Manfredi Maggiore, Luca Scardovi
2022· book· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Support Vector Machine for String Vectors
Malrey Lee, Taeho Jo
2006· book-chapter· en· Lecture notes in control and information sciences· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
The adjoint process in stochastic optimal control
Robert J. Elliott, Michael Kohlmann
2006· book-chapter· en· Lecture notes in control and information sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Direct modeling of white noise in stochastic systems
Arunabha Bagchi, Ravi R. Mazumdar
2005· book-chapter· en· Lecture notes in control and information sciences· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Self-tuning versus adaptive-predictive controllers
D. Grant Fisher, Brendan John Minter
2006· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Evaluation of an industrial pid autotuner
E. Goberdhansingh, W.R. Cluett
2006· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Digraph-based Conditioning for Markov Chains
Stephen Kirkland
2004· book-chapter· en· Lecture notes in control and information sciences· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Open-loop Subspace Identification
Biao Huang, Ramesh Kadali
2008· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Flexible Robot Trajectory Tracking Control
Anthony R. Green, Jurek Z. Sąsiadek
2007· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Rendezvous of Flying Robots
Ashton Roza, Manfredi Maggiore, Luca Scardovi
2022· book-chapter· en· Lecture notes in control and information sciences· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
State-dependent routing for a multi-service network
Zbigniew Dziong, L.G. Mason
2006· book-chapter· en· Lecture notes in control and information sciences· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Patterned Linear Maps
Sarah C. Hamilton, Mireille E. Broucke
2012· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Background
Sarah C. Hamilton, Mireille E. Broucke
2012· book-chapter· en· Lecture notes in control and information sciences· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About