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
Indoor and Outdoor Localization 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.

1,429 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.
1,429 works in the cohort · of 4,299,418page 1 of 29

Labels cover 0 of 1,429 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 1,429 of 1,429 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.

affunlabeled
Electronic frog eye: Counting crowd using WiFi
Wei Xi, Jizhong Zhao, Xiangyang Li, Kun Zhao, Shaojie Tang, Xue Liu +1 more
2014· article· en· Engineering
machine prediction:candidate · noneconsensus · none
405
citations
affno abstractunlabeled
Practical Metropolitan-Scale Positioning for GSM Phones
Mike Y. Chen, Timothy Sohn, Dmitri Chmelev, Dirk Haehnel, Jeffrey Hightower, Jeff Hughes +4 more
2006· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
270
citations
affunlabeled
NOMA Empowered Integrated Sensing and Communication
Zhaolin Wang, Yuanwei Liu, Xidong Mu, Zhiguo Ding, Octavia A. Dobre
2022· article· en· IEEE Communications Letters· Engineering
machine prediction:candidate · noneconsensus · none
227
citations
affunlabeled
Indoor Localization Improved by Spatial Context—A Survey
Fuqiang Gu, Xuke Hu, Milad Ramezani, Debaditya Acharya, Kourosh Khoshelham, Shahrokh Valaee +1 more
2019· review· en· ACM Computing Surveys· Engineering
machine prediction:candidate · noneconsensus · none
166
citations
affunlabeled
Intervehicle-Communication-Assisted Localization
Nabil Drawil, Otman Basir
2010· article· en· IEEE Transactions on Intelligent Transportation Systems· Engineering
machine prediction:candidate · noneconsensus · none
130
citations

How this was built: Screen · Findings · About