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Record W2471794435 · doi:10.51847/dshkvde

10.51847/dsHkvDE

2000· article· en· W2471794435 on OpenAlexvenueno aff
Elda España-Gamboa, Teresa Vicent, Xavier Font, Javier O. Mijangos‐Cortés, Blondy Canto‐Canché, Liliana Alzate

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsnot available
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsTrametes versicolorBioreactorVinassePhenolChemistryBiodegradationLaccasePulp and paper industryAerationChromatographyFood scienceOrganic chemistryFermentation

Abstract

fetched live from OpenAlex

Vinasse is a problem in worldwide and one that is predicted to increase over the years to come. Total phenol and color removal from this type of vinasse was evaluated using an air-pulsed bioreactor inoculated with Trametes versicolor. Batch operation of the bioreactor removed 71% of total phenol, 18% of color and 40% of chemical oxygen demand (COD). Maximum laccase activity achieved was 428 U/L. The air-pulsed bioreactor was subsequently operated in continuous mode for a period of 25 days, remov

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.087
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9130.922

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 head0.162
Teacher spread0.154 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations19
Published2000
Admission routes1
Has abstractyes

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