MétaCan
Menu
Back to cohort
Record W6981281964

Dynamic Behavior of Laval Rotor

2009· dissertation· cs· W6981281964 on OpenAlexaboutno aff

Bibliographic record

VenueBrno University of Technology Digital Library (Brno University of Technology) · 2009
Typedissertation
Languagecs
FieldEngineering
TopicMechanics and Biomechanics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRotor (electric)Control theory (sociology)Boundary value problemKinematics
DOInot available

Abstract

fetched live from OpenAlex

Náplní této bakalářské práce je stanovení vlastní frekvence modelové rotorové soustavy a ověření, zda tato soustava může být považována za Lavalův rotor. Vlastní frekvence se získá výpočtem ze známých vztahů pro krouživé kmitání rotorů. Ověření, zda tato modelová rotorová soustava může být Lavalův rotor, se provede pomocí experimentálního měření, při kterém se zjišťuje výchylka trajektorie hřídele při postupně se zvyšujících otáčkách. Naměřené hodnoty se následně zpracují v programu MATLAB. Výsledky se porovnají s teorií Lavalova rotoru.

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)0.001
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.003
GPT teacher head0.159
Teacher spread0.156 · 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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueBrno University of Technology Digital Library (Brno University of Technology)Same topicMechanics and Biomechanics StudiesFrench-language works237,207