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
Topic
Modeling, Simulation, and Optimization
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.

83 results · 1 filter active ·
Results by year
20002025
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.
83 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 83 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 83 of 83 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
Computational Intelligence: An Introduction
Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
2016· book-chapter· en· Studies in computational intelligence· Mathematics
machine prediction:candidate · noneconsensus · none
178
citations
affno abstractunlabeled
Mathematical Modeling
2014· book-chapter· en· Mathematics
machine prediction:candidate · noneconsensus · none
29
citations
fundno affunlabeled
Modelling and Simulation of a Hydraulic Breaker
Antonio Giuffrida, Domenico Laforgia
2005· article· en· International Journal of Fluid Power· Mathematics
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
INFORMATION DIMENSION OF GALTON BOARD
Qianli Zhou, Yong Deng, Witold Pedrycz
2022· article· en· Fractals· Mathematics
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Revision of the Learning Factory Morphology
Antonio Kreß, Vera Hummel, Rafiq Ahmad, Maria Hulla, Walter Quadrini, Maira Callupe +7 more
2023· article· en· SSRN Electronic Journal· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Fractal Analysis Approaches to Granular Computing
JingTao Yao, Oladunni A. Oladimeji, Zhang Yan
2017· book-chapter· en· Lecture notes in computer science· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Mathematical Modeling
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Book Reviews
Benjamin Lev, János D. Pintér, Mark J. Kaiser, Jonathan F. Bard, Francis D. Tuggle, Ken R. McNaught +2 more
2000· article· en· INFORMS Journal on Applied Analytics· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
afffundunlabeled
Dynamic Parallel Roll Alignment
W. F. Teskey, Robert Radovanovic
2002· article· en· Journal of Surveying Engineering· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Integrations Of The Trappist-1 System With Rebound
Daniel Tamayo, Hanno Rein, Cristóbal Petrovich, Norman Murray
2017· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
quarter common intermediate format
2011· reference-entry· en· SpringerReference· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About