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Record W2263242576 · doi:10.4271/2014-36-0207

Study of the Energetic Influence of Each Component Responsible for Closing the Side Doors

2014· article· en· W2263242576 on OpenAlexaff
Tiago Augusto Carneiro Calijorne, Felipe Gomes Lara Resende, Felipe Fonseca Weked, Roberto Chaves Rossy, Ygor de Almeida, Lucas Pimenta Rocha, Filipe Bittencourt Machado de Souza

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2014
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsChrysler (Canada)
Fundersnot available
KeywordsDoorsClosing (real estate)Component (thermodynamics)Computer sciencePhysicsPolitical scienceOperating systemLaw

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Currently, studies are being developed by automobile engineers about the energy required by the client during the closing door of the car. This paper proposes an analysis of A segment vehicle, four doors, in order to evaluate the influence of each component of the door/body responsible for closing the side doors. Tests will be carried out to demonstrate exactly the contribution of the door sealing, exhaust air valve and the inner cabin air pressure effect, door link, hinges and latch, plus the actual weight of the door during the closing. The results show which are the door/body components most responsible for car door closing movement energy increase and still, where to direct efforts to provide greater comfort for customers.</div></div>

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.259
Teacher spread0.244 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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