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
Smart Cities and Technologies
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.

663 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.
663 works in the cohort · of 4,299,418page 4 of 14

Labels cover 0 of 663 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 663 of 663 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.

aboutno affunlabeled
Vancouver's Digital Strategy
Tooran Alizadeh, Neil Sipe
2016· article· en· International Journal of E-Planning Research· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Technology-Enhanced Human Interaction in Modern Society
Francisco V. Cipolla-Ficarra, Maria Valeria Ficarra, Miguel Cipolla-Ficarra, Alejandra Quiroga, Jacqueline Alma, Jim Carré
2017· book· en· Advances in human and social aspects of technology book series· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
Medellin (Colombia)
Marco Peres Useche, Juan Carlos Noriega Silva, Carolina Vilafañe
2013· article· en· Engineering
machine prediction:candidate · noneconsensus · none
8
citations
affaboutunlabeled
The Smart City – Does the Individual Matter?
Sandra Breux, Jérémy Diaz, Hugo Loiseau
2023· article· en· Journal of Urban Technology· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
fundno affunlabeled
Framework for Smart City Model Composition
Soon Ae Chun, Dongwook Kim, June-Suh Cho, Michael Chuang, Seungyoon Shin, Daesung Jun
2020· article· en· International Journal of E-Planning Research· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Data and AI Driving Smart Cities
Pedro Ponce, Therese Peffer, Juana Isabel Méndez, Ursula Eicker, Arturo Molina, Troy McDaniel +4 more
2023· book· en· Studies in big data· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Electronic Government
2023· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
6
citations
fundno affunlabeled
Making Data Visible in Public Space
Sage Cammers-Goodwin, Naomi Van Stralen
2021· article· en· McGill GLSA Research Series· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
afffundvenueaboutunlabeled
CSR maturity model for smart city assessment
Alaeldin Suliman, Jeff H. Rankin, Anna Robak
2020· article· en· Canadian Journal of Civil Engineering· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
Building Digital Twin Metaverse Cities
Xiangming Samuel Li
2024· book· en· Maker Innovations Series· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Social participation in the definition of budgetary instruments
Luiz Antônio Félix Júnior, Wênyka Preston Leite Batista da Costa, Luciana Gondim de Almeida Guimarães, Glauber Ruan Barbosa Pereira, Walid Abbas El-Aouar
2020· article· en· Transforming Government People Process and Policy· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Technologies to watch in 2020
Esther Landhuis
2020· article· en· Nature· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Intelligence for Future Cities
Robert Goodspeed, Raja Sengupta, Marketta Kyttä, Christopher Pettit
2023· book· en· ˜The œurban book series· Engineering
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About