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System approach to aerodrome’s to provision to safety flight

2021· article· en· W3204226985 on OpenAlexaff
Ivan Popelysh, Volodymyr Kaskiv

Bibliographic record

VenueAutomobile Roads and Road Construction · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAerospace, Electronics, Mathematical Modeling
Canadian institutionsTransport Canada
Fundersnot available
KeywordsComputer scienceProcess (computing)Flight safetyPluralOperations researchRisk analysis (engineering)EngineeringAeronauticsBusiness

Abstract

fetched live from OpenAlex

System approach is considered In article to aerodrome’s provide to safety flight. The Designed theorist-plural models given process, allowing develop the methods of the analysis and syntheses of the undertaking the study, methods of their execution and use in theories and practice analysis of the systems operation aerodrome’s services civil airport. Example of real exhibit developing models is Shown for on-embroidering to safety flight. The proposed set-theoretical models of the aerodrome flight safety system make it possible to develop a methodology for analyzing and synthesizing research, methods for their implementation, and to apply the theory and practice of the systemology of functioning of aerodrome services of civil airports. The real application of one of the constituents of the developed models to the use of anti-icing chemicals showed that their effectiveness depends not only on the melting properties, but also on the correct and economical use.

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)0.001
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: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.005
GPT teacher head0.201
Teacher spread0.197 · 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
Published2021
Admission routes1
Has abstractyes

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