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Record W7065443187

Efecto de la refrigeración con fluidos orgánicos sobre las ondas de choque en una turbina de Laval

2015· dissertation· es· W7065443187 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRiuNet (Politechnical University of Valencia) · 2015
Typedissertation
Languagees
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsnot available
Fundersnot available
KeywordsShock (circulatory)Human beingOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Se pretende realizar un estudio de la influencia del caudal utilizado para la refrigeración en turbinas supersónicas, cuyo fluido de trabajo es un fluido refrigerante, sobre la onda de choque generada en el borde de fuga. Para ello se evaluarán la intensidad y ángulo de onda de choque para diversos caudales de refrigeración. Como referencia de partida se toma un estudio ya realizado de las mismas características pero desarrollado con aire como fluido de trabajo. Por lo tanto, el primer paso consiste en entender las bases, procedimiento y resultados de dicho estudio, para después llevarlo a cabo en casos cuyo fluido de trabajo es un fluido orgánico y comparar los resultados de ambos. El objetivo principal de este proyecto consiste en analizar los resultados y diferencias con el proyecto del que se parte, así como las posibles ventajas sobre el mismo, para explorar la posibilidad de obtener rendimientos superiores y menores cargas mecánicas en las turbinas de Laval.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.251
Teacher spread0.245 · 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