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Record W4389113393 · doi:10.5151/5463-5463-4545

MOLDE PARA TERMOPLÁSTICOS DE INJEÇÃO BI-COLOR –1 MULTI-COMPONENTES COM TECNOLOGIA ROTACIONAL

2004· article· pt· W4389113393 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueABM Proceedings · 2004
Typearticle
Languagept
FieldEngineering
TopicGreen IT and Sustainability
Canadian institutionsApplied Biological Materials (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

PDF | O molde multi-componentes bi-color com tecnologia rotacional consiste em injetar em um único molde, duas resinas termoplásticas, podendo ou não serem de características diferentes. O molde sempre terá duas vias de entrada para receber os materiais injetados, a fim de formar o produto final. Sempre que necessário e economicamente viável recomenda-se câmaras ou bicos quentes para tornar o processo de maior capabilidade. A refrigeração é igual aos moldes convencionais, devendo trocar calor com as partes ativas retirando o calor levado para o interior do molde pela massa fundida. A extração neste caso, deve ser dupla: um jogo de placas extratoras para cada lado do molde.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.251
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