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Record W2560666695

Evaluación del sistema de tratamiento de aguas residuales del Instituto Tecnológico de Costa Rica.

2016· article· es· W2560666695 on OpenAlexaboutno aff
Alma Deloya Martínez

Bibliographic record

VenueRevista Tecnología en Marcha · 2016
Typearticle
Languagees
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesChemistryPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

En el Instituto Tecnologico de Costa Rica (ITCR), sede Cartago, el lirio acuatico (Eichhornia crassipes) ha sido empleado en el tratamiento de sus aguas residuales. Dado que el sistema no habia sido evaluado, se presentan y analizan los resultados obtenidos durante setiembre de 1988 a mayo de 1989. El influente y el efluente del sistema fueron muestreados y analizados dos veces por semana, determinandose los parametros siguientes: demanda bioquimica de oxigeno (DBO), demanda quimica de oxigeno (DQO), oxigeno disuelto (OD), temperatura (T), pH, alcalinidad, turbiedad, conductividad, solidos totales (ST), solidos totales volatiles (STF), solidos suspendidos totales (SST), solidos suspendidos volatiles (SSV), solidos suspendidos fijos (SSF) y solidos sedimentables; los coliformes totales y fecales se determinaron cada cinco semanas. Las eficiencias de remocion promedio durante el estudio fueron 81% para DQO y 85% para la DBO, obteniendose mejores resultados durante la epoca seca (87% y 88% respectivamente). Los analisis se realizaron segun los metodos estandarizados para aguas residuales y los datos se analizaron por el metodo Gumbel. En conclusion, puede decirse que el lirio acuatico es capaz de bajar los contaminantes hasta niveles que cumplen con los limites establecidos en paises como Estados Unidos, Mexico y Canada.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.026
GPT teacher head0.304
Teacher spread0.279 · 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 teacher head, not a consensus.

Study designObservational
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
Published2016
Admission routes1
Has abstractyes

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