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Record W2978882185 · doi:10.5505/pajes.2017.48278

Modelling the quality of bus services by using factor analysis on urban bus satisfaction survey data: Case of IETT

2018· article· en· W2978882185 on OpenAlexaff
Ilgın Gökaşar, Büşra Buran, Selim Dündar

Bibliographic record

VenuePamukkale University Journal of Engineering Sciences · 2018
Typearticle
Languageen
FieldEngineering
TopicTraffic Prediction and Management Techniques
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsComputer scienceQuality (philosophy)Survey data collectionTransport engineeringStatisticsEngineeringMathematics

Abstract

fetched live from OpenAlex

bir konu olarak deerlendirilmektedir. Kiiden kiiye farkllk gsterebildii ve somut bir kt retmedii iin, hizmet kalitesinin lm, rn kalitesine kyasla daha zordur. Hizmet kalitesinin deerlendirilmesi iin, literatrde ok sayda model gelitirilmitir. Ulatrma i kolu, hizmet i kolunun nde gelen bileenlerinden birisidir. Toplu tamann kalitesinin arttrlmas, kentlerin geliiminde ve zel ara kullanmnn toplu ulama ynlendirilmesinde kuvvetli bir etkendir. Otobs hizmetlerinin kalitesi, toplu ulamn kalitesinin llmesine olanak salayan TS-EN 13816 Standardna gre tanmlanmtr

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.060
GPT teacher head0.274
Teacher spread0.213 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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