MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Complex Network Analysis Techniques
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.

1,618 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.
1,618 works in the cohort · of 4,299,418page 15 of 33

Labels cover 3 of 1,618 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 1,618 of 1,618 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Who are We Modelling
Anatoliy Gruzd
2016· article· en· Physics and Astronomy
distilled prediction:candidate · insufficient_payloadconsensus · none
6
citations
affno abstractunlabeled
“Two Is a Crowd” - Optimal Trend Adoption in Social Networks
Lilin Zhang, Peter Marbach
2012· book-chapter· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Connectivity Criteria for Ranking Network Nodes
Jaime Cohen, Elias P. Duarte, Jonatan Schroeder
2011· book-chapter· en· Communications in computer and information science· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
An SIS-type marketing model on random networks
Reinhard Illner, Junling Ma
2016· article· en· Communications in Mathematical Sciences· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
SSRM: Structural social role mining for dynamic social networks
Afra Abnar, Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zai͏̈ane
2014· article· en· 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)· Physics and Astronomy
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundno abstractunlabeled
How to choose friends strategically
Lata Narayanan, Kangkang Wu
2018· article· en· Theoretical Computer Science· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
On random walks in direction-aware network problems
Ali Tizghadam, Alberto Leon‐Garcia
2010· article· en· ACM SIGMETRICS Performance Evaluation Review· Physics and Astronomy
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affno abstractunlabeled
Counting Subgraphs in Relational Event Graphs
Farah Chanchary, Anil Maheshwari
2016· book-chapter· en· Lecture notes in computer science· Physics and Astronomy
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
afffundno abstractunlabeled
What distinguish one from its peers in social networks?
Yi‐Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei
2013· article· en· Data Mining and Knowledge Discovery· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
5
citations
← previousnext →

How this was built: Screen · Findings · About