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Record W2025968006 · doi:10.1080/09593330.2010.538931

Morphology of bacterial granules developed in an upflow anaerobic acid reactor

2011· article· en· W2025968006 on OpenAlexaff
Debraj Bhattacharyya, Kripa S. Singh

Bibliographic record

VenueEnvironmental Technology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGranule (geology)Transmission electron microscopyScanning electron microscopeExtracellular polymeric substanceBacteriaRuthenium redStainingBiophysicsElectron microscopeExtracellularChemical engineeringSegmented filamentous bacteriaChemistryMaterials scienceNanotechnologyBiologyBiochemistryComposite materialBiofilm

Abstract

fetched live from OpenAlex

Macro- and micro-structures of granules, developed in an upflow anaerobic acid reactor, were examined by light and electron microscopy. Every granule was found to be white, soft and non-spherical and had an open cavity at the centre. Scanning electron microscopy showed that the granules were composed of rod-shaped bacteria, of different thicknesses and lengths, arranged in three distinct layers within the granules. Transmission electron microscopic analysis of ultra-thin sections of granules, stained with Ruthenium Red, revealed the presence of extra-cellular polymeric materials around the cells. Gram staining tests confirmed the presence of both Gram-positive and Gram-negative bacteria in the granules. The intertwined nature of the bacterial arrangement in the granules and the extracellular polymeric substance that encapsulated the cell colonies contributed to the structural stability of the granules.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.210
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2011
Admission routes1
Has abstractyes

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