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Record W4392130063 · doi:10.37761/rsqp.v88i4.407

EFICIENCIA DE LA HARINA DE CÁSCARA DE CACAO (THEOBROMA CACAO) EN LA REMOCIÓN DE TURBIDEZ DE AGUAS RESIDUALES DOMÉSTICAS

2022· article· es· W4392130063 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista de la Sociedad Química del Perú · 2022
Typearticle
Languagees
FieldEnvironmental Science
TopicWater Resource Management and Quality
Canadian institutionsPROTO Manufacturing (Canada)
Fundersnot available
KeywordsTheobromaSCARAHorticultureBiologyComputer science

Abstract

fetched live from OpenAlex

El objetivo del artículo fue analizar la eficiencia de la harina de cáscara de cacao (Theobroma cacao) en la remoción de turbidez de aguas residuales domésticas. Las dosis del coagulante fueron 600, 800 y 1000 mg/L, con velocidad rápida de 180 RPM por un minuto, velocidad lenta (40 y 60 RPM) por 15 minutos y tiempo de sedimentación de 15 minutos. El volumen de cada jarra fue de 1 L. Se encontró un p-valor de 0,001 para el factor velocidad lenta; es decir existe diferencia significativa de la turbidez para los dos valores de velocidad lenta. Para el factor concentración de floculante, el p-valor fue 0,737; es decir, no existe diferencia significativa de la turbidez para los cuatro valores de concentración de floculante. Asimismo, el p-valor para la interacción (velocidad lenta * concentración) fue 0,737; es decir no fue significativo. Se concluye que el uso de floculantes naturales es una alternativa sustentable para la remoción de turbidez del agua residual doméstica.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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 score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0020.000
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.275
Teacher spread0.267 · 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