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
ACM SIGKDD Explorations Newsletter
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.

40 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.
40 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 40 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 40 of 40 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
Class imbalances versus small disjuncts
Taeho Jo, Nathalie Japkowicz
2004· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
681
citations
affunlabeled
A brief survey on sequence classification
Zhengzheng Xing, Jian Pei, Eamonn Keogh
2010· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
552
citations
affunlabeled
Mining frequent patterns by pattern-growth
Jiawei Han, Jian Pei
2000· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
275
citations
affunlabeled
Ensembles for unsupervised outlier detection
Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
2014· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
273
citations
affunlabeled
Constrained frequent pattern mining
Jian Pei, Jiawei Han
2002· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
133
citations
affunlabeled
KDD Cup 2001 report
Jie Cheng, Christos Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page +1 more
2002· article· en· ACM SIGKDD Explorations Newsletter· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
110
citations
affunlabeled
Urban Human Mobility
Jinzhong Wang, Xiangjie Kong, Lijun Sun
2019· article· en· ACM SIGKDD Explorations Newsletter· Social Sciences
machine prediction:candidate · noneconsensus · none
107
citations
affunlabeled
Exploiting succinct constraints using FP-trees
Carson K. Leung, Laks V. S. Lakshmanan, Raymond T. Ng
2002· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
FpVAT
Carson K. Leung, Christopher L. Carmichael
2010· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
68
citations
fundno affunlabeled
WEBKDD'99
Brij Masand, Myra Spiliopoulou
2000· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
WEBKDD 2002
Brij Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zai͏̈ane
2002· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
19
citations
affunlabeled
MDM/KDD
Osmar R. Zai͏̈ane, Simeon Simoff
2002· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affaboutunlabeled
MDM/KDD2002
Simeon Simoff, Chabane Djeraba, Osmar R. Zai͏̈ane
2002· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
aboutno affunlabeled
Multi-relational data mining
Sašo Džeroski, Luc De Raedt
2002· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Extracting relational data from HTML repositories
Ruth Yuee Zhang, Laks V. S. Lakshmanan, Ruben H. Zamar
2004· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Report on MDM/KDD2000
Simeon Simoff, Osmar R. Zai͏̈ane
2000· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
WebKDD 2005
Olfa Nasraoui, Osmar R. Zai͏̈ane, Myra Spiliopoulou, Bamshad Mobasher, Brij Masand, Philip S. Yu
2005· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
WebKDD 2008
Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zai͏̈ane, Jaideep Srivastava, Bamshad Mobasher
2008· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Finding Multidimensional Simpson's Paradox
Jay Xu, Jian Pei, Zicun Cong
2022· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About