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Record W1785813028 · doi:10.1109/iemc.1996.547801

Design of an information system for a networked industry

2002· article· en· W1785813028 on OpenAlexaff
Sophie D’Amours, Pierre Lefrançois, Benoît Montreuil

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBiddingInformation flowComputer scienceInformation systemKnowledge managementBusinessProcess managementMarketingEngineering

Abstract

fetched live from OpenAlex

The industrial network is composed of active firms and public organizations evolving in a specific industry and of an industrial network manager. The information system for a networked industry (NetIndSI) is constructed to transfer information between firms of a business network. The firms are modeled as processors in a network linked together to manufacture products or deliver services. These processors can perform many tasks on the NetIndSI such as bidding on a project, requesting bids for a project, analyzing strategic information, developing bidding strategies, developing strategic alliances, managing the firm operations and contracts, and archiving pertinent information. The industrial network manager is modeled to maximize the network contribution to its member's. Its role is: to manage membership; to answer requests from the network members; to ensure information flow between the network members; to distribute decision supporting tools to the network members; and to develop new business opportunities for the members.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.046
GPT teacher head0.214
Teacher spread0.168 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2002
Admission routes1
Has abstractyes

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