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Record W7018162705

Configurability in a Diagnostic Expert System for Paper Machine Dryer Sections

2007· article· en· W7018162705 on OpenAlex

Why this work is in the frame

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

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
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.

Bibliographic record

VenueNPARC · 2007
Typearticle
Languageen
FieldComputer Science
TopicAI-based Problem Solving and Planning
Canadian institutionsnot available
Fundersnot available
KeywordsTroubleshootingExpert systemFocus (optics)Paper machine
DOInot available

Abstract

fetched live from OpenAlex

A "Paper Drying Expert System" (PDES) prototype is being developed as a diagnostic consultant for troubleshooting dryer sections of paper machines. It is currently undergoing validation in two pulp and paper mills, scheduled to be completed in September 1994. A requirement that the PDES be configurable for many possible dryer configurations is a major consideration. This paper describes the project with a focus on how this requirement is satisfied in the design. Keywords: diagnosis, troubleshooting, expert system, paper making. Introduction A "Paper Drying Expert System" (PDES) prototype is being developed as a diagnostic consultant for troubleshooting dryer sections of paper machines. A requirement that it be configurable for many possible dryer configurations is a major consideration. The purpose of this paper is to describe the project with a focus on how this requirement is satisfied in the design. The project has five partners, i.e., three pulp and paper companies, one manufac...

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

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.

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

Opus teacher head0.015
GPT teacher head0.257
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it