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Record W6901731083 · doi:10.60692/nmngv-qer09

COMPARAÇÃO DO IMPACTO AMBIENTAL DE CAPA DE LAPTOP UTILIZANDO A AVALIAÇÃO DO CICLO DE VIDA

2018· article· pt· W6901731083 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2018
Typearticle
Languagept
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsImpact
Fundersnot available
KeywordsLaptopCuritibaWork (physics)Data collectionLife-cycle assessment

Abstract

fetched live from OpenAlex

O presente artigo objetivou comparar o impacto ambiental de uma capa de laptop, produzida parcialmente com materiais reciclados, por integrantes de projetos sociais da Fundação de Ação Social da Prefeitura Municipal de Curitiba (FAS), com outras duas capas de laptop comerciais (corino e neoprene), através da utilização da metodologia de avaliação do ciclo de vida de produtos. Para o desenvolvimento da ACV foram adotadas as recomendações das normas ISO 14040. Os dados foram trabalhados no software SimaPro v. 8.0.5, com modelagem em relação aos impactos ambientais. Foi utilizada a base de dados do inventário Ecoinvent v.3, para definição do inventário do ciclo de vida do produto, e o método de avaliação IMPACT 2002+ para identificação dos impactos ambientais. Após aplicação da metodologia ACV concluiu-se que as capas de laptop que não utilizavam matéria-prima reciclada geraram menor impacto ambiental.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.005

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 head0.035
GPT teacher head0.255
Teacher spread0.220 · 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.

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
Published2018
Admission routes1
Has abstractyes

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