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
Lecture notes in computer science
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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 145 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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
Constraint Metrics for Local Search
Finnegan Southey
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
What Is a Good Process Semantics?
Robin Cockett
2006· book-chapter· en· Lecture notes in computer science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Descriptional Complexity of Formal Systems
Helmut Jürgensen, Rogério Reis
2013· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Health Condition Alarm System
Maiga Chang, Ebenezer Aggrey, Mehadi Sayed, Kinshuk Kinshuk
2013· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Toward a Mobile Work Environment
Larbi Esmahi, Roger Impey, Ramiro Liscano
2000· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Advances in Multimedia Modeling
Shipeng Li, Meng Wang, Tao Mei, Nicu Sebe, Shuicheng Yan, Richang Hong +1 more
2013· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
SoK: Securing Email—A Stakeholder-Based Analysis
Jeremy Clark, Paul C. van Oorschot, Scott Ruoti, Kent Seamons, Daniel Zappala
2021· preprint· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Absolute Stability of Hopfield Neural Network
Xiaoxin Liao, Fei Xu, Pei Yu
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Abstracting Context in Event-Based Software
Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
A Graphic CNN-LSTM Model for Stock Price Predication
Jimmy Ming‐Tai Wu, Zhongcui Li, Youcef Djenouri, Dawid Połap, Gautam Srivastava, Jerry Chun‐Wei Lin
2021· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Multi-path GEM for Routing in Wireless Sensor Networks
Qiang Ye, Yuxing Huang, Andrew Reddin, Lei Wang, Wuman Luo
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Fault Tolerant P2P RIA Crawling
Khaled Ben Hafaiedh, Gregor von Bochmann, Guy-Vincent Jourdan, Iosif Viorel Onut
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Cartan Frames for Heart Wall Fiber Motion
Babak Samari, Tristan Aumentado‐Armstrong, Gustav J. Strijkers, Martijn Froeling, Kaleem Siddiqi
2017· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
PSPACE-Completeness of Reversible Deterministic Systems
Erik D. Demaine, Robert A. Hearn, Dylan Hendrickson, Jayson Lynch
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Hypermedia — from the past to the future
Ivan Tomek, Hermann Maurer
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
No Sentiment is an Island:
Victoria Bobicev, Marina Sokolova
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About