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
Studies in big data
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.

63 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.
63 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 63 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 63 of 63 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
A Survey of High Utility Itemset Mining
Philippe Fournier‐Viger, Jerry Chun‐Wei Lin, Tin Truong, Roger Nkambou
2019· book-chapter· en· Studies in big data· Computer Science
machine prediction:candidate · noneconsensus · none
95
citations
affno abstractunlabeled
Routing Protocols for Internet of Vehicles: A Review
Farhana Ajaz, Mohd Naseem, Gulfam Ahamad, Qamar Rayees Khan, Sparsh Sharma, Ehtesham Husain Abbasi
2021· review· en· Studies in big data· Engineering
machine prediction:candidate · noneconsensus · none
10
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
affno abstractunlabeled
Big Data for Educational Service Management
Santosh Kumar Ray, Mohammed M. Alani, Amir Ahmad
2022· book-chapter· en· Studies in big data· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Smart Communities and Cities as a Unified Concept
Pedro Ponce, Therese Peffer, Juana Isabel Méndez, Ursula Eicker, Arturo Molina, Troy McDaniel +4 more
2023· book-chapter· en· Studies in big data· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Cost and Revenue Efficiency Based on MOLP in DEA-R Models
Farhad Hosseinzadeh Lotfı, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffarı, Javad Gerami
2023· book-chapter· en· Studies in big data· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Applied Data Science
2023· book· en· Studies in big data· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Relationship Between Ratio Analysis, DEA-R and DEA Models
Farhad Hosseinzadeh Lotfı, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffarı, Javad Gerami
2023· book-chapter· en· Studies in big data· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Connected Citizens are Smart Citizens
Pedro Ponce, Therese Peffer, Juana Isabel Méndez, Ursula Eicker, Arturo Molina, Troy McDaniel +4 more
2023· book-chapter· en· Studies in big data· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Two-Stage Network Based on Ratio Analysis Models
Farhad Hosseinzadeh Lotfı, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffarı, Javad Gerami
2023· book-chapter· en· Studies in big data· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cost Optimization of Software Quality Assurance
Soobia Saeed, N. Z. Jhanjhi, Syed Mehmood Raza Naqvi, Azeem Khan
2021· book-chapter· en· Studies in big data· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Slack-Based Model for Efficiency Evaluation in DEA and DEA-R
Farhad Hosseinzadeh Lotfı, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffarı, Javad Gerami
2023· book-chapter· en· Studies in big data· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Current Smart Communities and Cities
Pedro Ponce, Therese Peffer, Juana Isabel Méndez, Ursula Eicker, Arturo Molina, Troy McDaniel +4 more
2023· book-chapter· en· Studies in big data· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About