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Record W7132051301

Measures for reducing the vehicle fleet of Komunala Nova Gorica company, with an estimation of cost-cuts and related improvements

2015· article· sl· W7132051301 on OpenAlexaboutno aff
Uroš Rosa

Bibliographic record

VenueRUNG · 2015
Typearticle
Languagesl
FieldEngineering
TopicTransport and Logistics Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsNova (rocket)EstimationNova scotiaContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Magistrsko delo obravnava možnosti za zmanjševanje voznega parka podjetja Komunala Nova Gorica d.d. in ima dva cilja. Primarni cilj je zniževanje stroškov odvoza odpadkov, posredni cilj pa je povečevanje deleža ločeno zbranih odpadkov, saj je delež ločeno zbranih odpadkov glede na prihajajoče uredbe prenizek. Med ukrepi, s katerimi želimo doseči navedena cilja, najprej obravnavamo spremembo kontejnerskih mest v ekološke otoke in navodila za pravilno izvajanje del v enoti za zbiranje in odvoz odpadkov. V osrednjem delu pa se posvetimo izboljševanju transportnih poti, ki jih ob primerni izvedbi omogoča uporaba navigacijskih naprav. Na podlagi analiz stanja pred ukrepi in po njih so ovrednoteni učinki obravnavanih ukrepov. Rezultat je zmanjšanje števila potrebnih smetarskih vozil za odvoz mešanih odpadkov v podjetju Komunala Nova Gorica d.d. in povečan delež ločeno zbranih odpadkov v občinah, v katerih deluje to podjetje.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.050
GPT teacher head0.279
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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
Published2015
Admission routes1
Has abstractyes

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