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Record W7000314428

Estudio geotécnico de arenas de Ottawa y ensayos de mejora con biocalcificación

2013· dissertation· es· W7000314428 on OpenAlexaboutno aff

Bibliographic record

VenueUPM Digital Archive (Technical University of Madrid) · 2013
Typedissertation
Languagees
FieldEnvironmental Science
TopicMicrobial Applications in Construction Materials
Canadian institutionsnot available
Fundersnot available
KeywordsDuration (music)Materials testingWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Este proyecto trata sobre el interés que ofrece la biocalcificación en cuanto a la mejora de las propiedades mecánicas de materiales de construcción. En concreto este proyecto se desarrolla con arenas de Ottawa con intención de extrapolar resultados y de continuar con ensayos en distintos materiales. Se realizan ensayos de caracterización del material en primer lugar para conocer sus propiedades básicas y posteriormente se preparan los cultivos bacteriológicos que ayuden a biocalcificar el medio de estudio. Tras las correspondientes investigaciones y pruebas respecto al método más efectivo, cantidad de inyecciones, duración… usando también conocimientos químicos para la preparación de los reactivos, se procede a la repetición de los ensayos para ver la variación en las propiedades y poder sacar conclusiones útiles en la mejora visible de éstas. ABSTRACT This project discuss the interest of biocalcification offered by regarding the improvement of the mechanical properties of construction materials. Specifically this project is developed with Ottawa sands intending to extrapolate findings and to continue testing different materials. Firstly, characterization tests are performed to find out its basic material properties and after that, bacterial cultures are prepared to help studying how to biocalcify the sample. After the needed investigations and tests looking for the most effective method, accurate number of injections, desired duration ... also using chemical knowledge for the preparation of the reagents; we proceed to retest the samples to see the variation in properties and be able to get useful conclusions of a visible improvement of these properties.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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Same venueUPM Digital Archive (Technical University of Madrid)Same topicMicrobial Applications in Construction MaterialsFrench-language works237,207