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
Data Mining Algorithms and Applications
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.

1,100 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.
1,100 works in the cohort · of 4,299,418page 17 of 22

Labels cover 1 of 1,100 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 1,100 of 1,100 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Learning Actions in Complex Software Systems
Koosha Golmohammadi, Michael Smit, Osmar R. Zai͏̈ane
2011· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Explanation-Oriented Data Mining
Yiyu Yao, Yan Zhao
2011· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Discovering spatial associations in images
Osmar R. Zai͏̈ane, Jiawei Han
2000· article· en· Proceedings of SPIE - The International Society for Optical Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Data Driven Research at LIS: the Laboratory of Information Systems at UNICAMP
Cláudia Bauzer Medeiros, André Santanchè, Edmundo R. M. Madeira, Eliane Martins, Geovane Cayres Magalhães, M. Cecí­lia C. Baranauskas +2 more
2011· article· en· Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais)· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
Message from General Co-chairs
2012· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Subgraph Mining
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affno abstractunlabeled
Advances in Knowledge Discovery and Data Mining
De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun‐Wei Lin
2024· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affunlabeled
Classification of Diseases of The Urinary System using an Expert System
Dacyr Dante de Oliveira Gatto, João Victor Oliveira Mendonça Reis, Leandro Rosa Pedro, Winicios Alves Dos Santos, Edquel Bueno Prado Farias
2021· article· en· GEPROS. Gestão da Produção, Operações e Sistemas· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Machine Learning and Knowledge Discovery in Databases: Research Track
Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi
2023· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Fast Frequent Pattern Detection Using Prime Numbers
Konstantinos F. Xylogiannopoulos, Omar Addam, Panagiotis Karampelas, Reda Alhajj
2014· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
afffundno abstractunlabeled
Model-based exception mining for object-relational data
Fatemeh Riahi, Oliver Schulte
2020· preprint· en· Data Mining and Knowledge Discovery· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · none
0
citations
affunlabeled
User-Centered Interactive Data Mining
Yan Zhao, Yiyu Yao
2010· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
fundno affunlabeled
Uma Abordagem de Data Warehouse Educacional para Apoio à Tomada de Decisão
José Oliveira Júnior, Laudelino Cordeiro Bastos, Celso A. A. Kaestner
2015· article· pt· Anais ... Workshops do Congresso Brasileiro de Informática na Educação· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
A new classification method to overcome over-branching
Aoying Zhou, Weining Qian, Hailei Qian, Wen Jin
2002· article· en· Journal of Computer Science and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Refactoring ETL Flows in The Wild
Dolev Adas, Ohad Eytan, Guy Khazma, Josep Sampé, Paula Ta-Shma
2023· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Subdivision of Edges and Matching Size.
Douglas C. Bauer, E. F. Schmeichel, Thomas M. Surowiec
2007· article· en· Ars Combinatoria· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About