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Record W2278719126

철도노선의 환경부하 평가를 위한 LCA 도입방안 연구

2008· article· ko· W2278719126 on OpenAlexaboutno aff
김용기, 이철규, 이지하, Jae-Young Lee

Bibliographic record

Venue한국철도학회 학술발표대회논문집 · 2008
Typearticle
Languageko
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolGreenhouse gasSustainable developmentNatural resource economicsBusinessEnvironmental impact assessmentProduction (economics)Environmental protectionConsumption (sociology)Montreal ProtocolEnvironmental economicsEnvironmental scienceEnvironmental planningEnvironmental resource managementEconomicsPolitical scienceGeographyOzone layer
DOInot available

Abstract

fetched live from OpenAlex

Due to sustainable development, international environmental regulations have been reinforced continuously. As Kyoto protocol has been effective in 2005, the reduction of CO₂ emission is a global urgent problem. Especially, Kyoto protocol related to energy consumption affects to national production system seriously. In 2013, Korea greenhouse gas reduction obligations as the country is almost certain measures to respond steps to prepare a plan to reduce CO₂ emission of industry. Also, the Environmental impacts with a fundamental review for railroad lines do not yet come true. Therefore, the introduction of LCA will be required to decrease environmental impacts released from railroad lines in the future

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)0.002
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.012

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 head0.017
GPT teacher head0.232
Teacher spread0.215 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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