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Record W2765371126 · doi:10.5267/j.dsl.2017.10.002

Model of decision for the management of technology and risk in a port community

2017· article· en· W2765371126 on OpenAlexvenueno aff
Claudia Durán, Raúl Carrasco, Juan M. Sepúlveda

Bibliographic record

VenueDecision Science Letters · 2017
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
FundersDepartamento de Investigaciones Científicas y Tecnológicas, Universidad de Santiago de ChileUniversidad de ChileUniversidad de Santiago de Chile
KeywordsPort (circuit theory)Risk analysis (engineering)Management scienceBusinessOperations managementOperations researchEngineeringComputer scienceProcess management

Abstract

fetched live from OpenAlex

Strategic management in a port system is complex since the Port Community has to coordinate actions and generate synergy among all the private actors that integrate the export and import logistics chains, trade associations and trade unions. Based on the opinion of the port experts and the analytical network process (ANP), the research identifies the relevant criteria for strategic, business and operational decision-making in the Port Community, in the technological and risk contexts. With the criteria found and considering the strategic alignment that is required, management indicators are constructed. Based on a generic model, a new strategic conceptual model (PORTGD) of ANP for decision management is designed for the Port Community, a cause and effect analysis is carried out and a sensitization study is performed on the nodes. The discussion of the results and conclusions highlights the importance of technological investment, control of port security and good practices for the port system investigated.

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)0.001
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: Empirical
Teacher disagreement score0.853
Threshold uncertainty score0.206

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.297
Teacher spread0.254 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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