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Record W4392803929 · doi:10.14513/actatechjaur.00729

Analysis of Normative Requirements and Technical Specifications of a Structural Design of the Mechanical Device Operating in the Amusement Industry

2024· article· en· W4392803929 on OpenAlexaff
Denis Molnár, Miroslav Blatnický, Ján Dižo, Sebastián Solčanský, Dávid Čierňava

Bibliographic record

VenueActa Technica Jaurinensis · 2024
Typearticle
Languageen
FieldEngineering
TopicEngineering Technology and Methodologies
Canadian institutionsTransport Canada
FundersKultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR
KeywordsNormativeAmusementEngineeringManufacturing engineeringSystems engineeringComputer scienceConstruction engineeringPsychologyPolitical science

Abstract

fetched live from OpenAlex

In current hectic times, people should be able to slow down and diversify their free time. Therefore, the contribution of the amusement industry should not be negligible but, on the contrary, should be seen as something where whole families can seek respite from ordinary worries and problems. For this reason, the presented paper was written, which represents an intermediate step in the design of an amusement facility suitable for amusement parks that respects the normative requirements. Technical standardization represents a set of rules, characterizations, guidelines, and results of activities necessary for mutual understanding when solving technical problems in production. Adherence to standards is essential when launching a product on the market. The main standard indicating the full functioning of an amusement device is STN EN 13814. Its analysis and the resulting technical specifications of the proposed equipment are the chief objectives of the paper.

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)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.096
GPT teacher head0.312
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2024
Admission routes1
Has abstractyes

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