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Record W2278719126

철도노선의 환경부하 평가를 위한 LCA 도입방안 연구

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

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.009

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