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Record W4224536423 · doi:10.18280/ijsdp.170224

Identifying and Evaluating the Reality of Projects Delivery Systems

2022· article· en· W4224536423 on OpenAlexvenueno aff
Atheer M. AL-Saady, Sedqi Esmaeel Rezouki

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Integrated project deliveryWastewaterEnvironmental planningEngineeringProcess managementEngineering managementRisk analysis (engineering)Construction engineeringComputer scienceBusinessProject managementSystems engineeringWaste managementEnvironmental science

Abstract

fetched live from OpenAlex

The way a project is delivered has a significant impact on project outcomes. Design-build, design-Bid -build represents the most common methods of delivery of wastewater projects in Iraq. Each system comes with its own advantages and disadvantages that suit all different projects and under different circumstances. The purpose of this research is to identify the main and secondary factors affecting the method of delivering wastewater projects and to identify the potential risks of these different methods. The methodology used for identification is by reviewing the general literature and conducting personal interviews for employees working in the planning and implementation of wastewater projects, as well as a questionnaire distributed to 20 projects under implementation in Wasit Governorate / Iraq. The results of this research are summarized by identifying the main and secondary factors according to the relative importance of these factors, where the factors with relative importance less than) 65) % were neglected.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.054
GPT teacher head0.290
Teacher spread0.236 · 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 designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

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