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Mathematical model of working processes of piston hybrid power machine of volumetric action with reduced fluctuations of gas pressure in discharge line

2019· article· en· W2953053364 on OpenAlexaff
V. E. Scherba, А. В. Григорьев, A. V. Zanin

Bibliographic record

VenueOmsk Scientific Bulletin Series Aviation-Rocket and Power Engineering · 2019
Typearticle
Languageen
FieldEnergy
TopicMechanical Systems and Engineering
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsLine (geometry)Piston (optics)Power (physics)Action (physics)MechanicsMechanical engineeringMaterials scienceEngineeringPhysicsThermodynamicsMathematicsOptics

Abstract

fetched live from OpenAlex

МАТЕМАТИЧЕСКАЯ МОДЕЛЬ РАБОЧИХ ПРОЦЕССОВ ПОРШНЕВОЙ ГИБРИДНОЙ ЭНЕРГЕТИЧЕСКОЙ МАШИНЫ ОБЪЕМНОГО ДЕЙСТВИЯ С УМЕНЬШЕННЫМИ КОЛЕБАНИЯМИ ДАВЛЕНИЯ ГАЗА В ЛИНИИ НАГНЕТАНИЯ В. Е. Щерба, А. В. Григорьев, А

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)0.000
metaresearch head score (Gemma)0.000
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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.199
Teacher spread0.186 · 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
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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueOmsk Scientific Bulletin Series Aviation-Rocket and Power EngineeringSame topicMechanical Systems and EngineeringFrench-language works237,207