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Record W976680358

A Software Platform for Multiprotocol E-Negotiations

2004· book-chapter· en· W976680358 on OpenAlex
Gregory E. Kersten, Ka Pong Law, Stefan Strecker

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueUniversitätsbibliographie, Universität Duisburg-Essen · 2004
Typebook-chapter
Languageen
FieldComputer Science
TopicMulti-Agent Systems and Negotiation
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationConstruct (python library)Software engineeringSoftwareComputer scienceResearch councilEngineering managementEngineeringPolitical scienceOperating systemProgramming language
DOInot available

Abstract

fetched live from OpenAlex

A flexible and highly customizable software platform to conduct research on e-negotiation is presented. The software platform enables negotiators to map negotiation activities to system components and construct their own protocols by creating a sequence of layout programs invoking components and rules. The system design is discussed and selected implementation details are presented to give an overview of the approach taken. 1 This research was funded by grants from the Social Sciences and Humanities Research Council Canada and Natural Sciences and Engineering Research Council Canada. The authors are grateful to Nematollaah Shiri for his comments and suggestions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0170.004
Science and technology studies0.0010.000
Scholarly communication0.0000.006
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.226
Teacher spread0.203 · 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