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Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (1995)

2013· preprint· en· 554 citations· W1550696814 on OpenAlex· 10.48550/arxiv.1304.3848

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.119
GPT teacher head0.204
Teacher spread
0.085 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

This is the Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, which was held in Montreal, QU, August 18-20, 1995

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
arXiv (Cornell University)
Topic
AI-based Problem Solving and Planning
Field
Computer Science
Canadian institutions
Funders
Keywords
EleventhComputer scienceArtificial intelligenceOperations researchPolitical scienceEngineeringPhysics
Has abstract in OpenAlex
yes