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
Mathematical Modelling and Engineering Problems
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.

1,272 results · 1 filter active ·
Results by year
20142025
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.
1,272 works in the cohort · of 4,299,418page 1 of 26

Labels cover 0 of 1,272 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 1,272 of 1,272 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.

venueno affunlabeled
A Secured Multi-Stages Authentication Protocol for IoT Devices
Ahmad Y. Alhusenat, Hamza Abu Owida, Hana A. Rababah, Jamal Al-Nabulsi, Suhaila Abuowaida
2023· article· en· Mathematical Modelling and Engineering Problems· Computer Science
machine prediction:candidate · noneconsensus · none
88
citations
venueno affunlabeled
Applications of nanofluids in geothermal: A review
Mohammad Hossein Ahmadi, Mahdi Ramezanizadeh, Mohammad Alhuyi Nazari, Giulio Lorenzini, Ravinder Kumar, Ravindra Jilte
2018· review· en· Mathematical Modelling and Engineering Problems· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
venueno affunlabeled
Network Anomaly Detection in 5G Networks
Atta Rahman, Maqsood Mahmud, Tahir Iqbal, Linah Saraireh, Hisham A. Kholidy, Mohammed Gollapalli +4 more
2022· article· en· Mathematical Modelling and Engineering Problems· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
venueno affunlabeled
A review on the solar applications of thermosyphons
Mahdi Ramezanizadeh, Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi, Giulio Lorenzini, Ravinder Kumar, Ravindra Jilte
2018· review· en· Mathematical Modelling and Engineering Problems· Engineering
machine prediction:candidate · noneconsensus · none
28
citations
venueno affunlabeled
Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model
Abrar Alotaibi, Atta Rahman, Raheel Alhaza, Wala Alkhalifa, Narjes Alhajjaj, Atheer Alharthi +3 more
2022· article· en· Mathematical Modelling and Engineering Problems· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
venueno affunlabeled
Introducing exergy analysis in life cycle assessment: A case study
Teresa Maria Gulotta, Francesco Guarino, Marina Mistretta, Maurizio Cellura, Giulio Lorenzini
2018· article· en· Mathematical Modelling and Engineering Problems· Environmental Science
machine prediction:candidate · noneconsensus · none
17
citations
venueno affunlabeled
Weighted Aggregated Sum Product Assessment
Shahryar Sorooshian, Noor Azlinna Azizan, Nader Ale Ebrahim
2022· article· en· Mathematical Modelling and Engineering Problems· Decision Sciences
machine prediction:candidate · noneconsensus · none
16
citations
venueno affunlabeled
Assessment of Information Extraction Techniques, Models and Systems
Atta Rahman, Dhiaa Musleh, Majed Nabil, Haya Alubaidan, Mohammed Gollapalli, Gomathi Krishnasamy +6 more
2022· article· en· Mathematical Modelling and Engineering Problems· Decision Sciences
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About