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Record W3196023196

STRUJANJE U MLAZNICAMA

2020· dissertation· sh· W3196023196 on OpenAlexaboutno aff
Antonio Barišić

Bibliographic record

Venuenot available
Typedissertation
Languagesh
FieldEngineering
TopicMechanical and Thermal Properties Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleInletFlow (mathematics)MechanicsDischarge coefficientBar (unit)Tube (container)Mechanical engineeringEngineeringPhysicsMeteorology
DOInot available

Abstract

fetched live from OpenAlex

Purpose of the final paper was to elaborate the topic of flow in nozzles. Main types of fluid flows have been described in the final paper, as well as their characteristics. In addition, all equations related to fluid flows through the tube and nozzle which are used in calculations have been defined. Different types of flowing through the nozzles have been described. The shapes of nozzles and their specifications related to the de Laval's nozzle have been also analyzed. The paper includes calculation for two different types of gases which flow through the nozzle with different inlet velocities. The results obtained in the paper are compared at the end of the paper using bar diagrams.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.007

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 head0.012
GPT teacher head0.198
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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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Same topicMechanical and Thermal Properties AnalysisFrench-language works237,207