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Record W1985987363 · doi:10.1007/s10479-010-0753-7

Introduction to the special issue on Advances in Manufacturing Systems

2010· article· en· W1985987363 on OpenAlexaff
Tom Van Woensel, John A. Buzacott, Stanley B. Gershwin, George Liberopoulos, J. MacGregor Smith, Semyon M. Meerkov, Barış Tan

Bibliographic record

VenueAnnals of Operations Research · 2010
Typearticle
Languageen
FieldEngineering
TopicScheduling and Optimization Algorithms
Canadian institutionsYork University
Fundersnot available
KeywordsTheory of computationOperations researchHead (geology)Library scienceVolume (thermodynamics)Engineering managementManagementComputer scienceEngineeringEconomicsPhysics

Abstract

fetched live from OpenAlex

The origin of this volume of the AOR stems from the Sixth International Conference on “Analysis of Manufacturing Systems” in Lunteren, The Netherlands, May 11–16, 2007. The Conference was jointly organized under the auspices of the Technische Universiteit Eindhoven (TU/e), the BETA Research School for Operations Management and Logistics, and EURANDOM, and was sponsored by BETA, EURANDOM, KNAW, and NWO. The head of the organizing committee was Dr. Tom Van Woensel of TU/e. The previous five

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.107
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0020.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.1070.050

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 head0.050
GPT teacher head0.378
Teacher spread0.327 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2010
Admission routes1
Has abstractyes

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