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Record W4387061008 · doi:10.23713/ht.56.4.09

Pilóta nélküli légi járművek repülésbiztonsági kérdései és az azokra adható technikai megoldások lehetőségei

2022· article· hu· W4387061008 on OpenAlexaff
Dániel Bárány, Szabolcs Rembeczki

Bibliographic record

VenueHaditechnika · 2022
Typearticle
Languagehu
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

A pilóta nélküli repülőeszközök elterjedése megköveteli a vonatkozó törvények rendszeres felülvizsgálatát, valamint új műszaki megoldások alkalmazását a biztonságos légi közlekedés érdekében. A MILTECH Zrt. és a Sagetech Avionics cég együttműködési megállapodást kötött olyan piacvezető avionikai termékek forgalmazására, amelyek lehetővé teszik a légi eszközök azonosítását, a balesetek csökkentését, és a repülések biztonságosabbá tételét.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0560.020

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 head0.007
GPT teacher head0.184
Teacher spread0.178 · 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 designSimulation or modeling
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
Published2022
Admission routes1
Has abstractyes

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