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Record W2526484944 · doi:10.1080/15567036.2015.1086909

Energy recovery from cassava peels in a single-chamber microbial fuel cell

2016· article· en· W2526484944 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

VenueEnergy Sources Part A Recovery Utilization and Environmental Effects · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicrobial fuel cellBiomass (ecology)Environmental scienceEnergy recoveryPulp and paper industrySingle chamberWaste managementWork (physics)Lignocellulosic biomassDegradation (telecommunications)Energy sourceBioenergyBiochemical engineeringEnergy (signal processing)ChemistryBiofuelElectrodeEcologyBiologyCoalEngineeringMechanical engineeringElectrical engineeringAnode

Abstract

fetched live from OpenAlex

In a number of energy-poor nations, cassava peels represent one of the most abundant forms of lignocellulosic biomass available, and thus present an opportunity for use in microbial fuel cells (MFCs). In an MFC with optimized electrode spacing, biomass produced a power density of 29 mW⋅m–3 in a single-chamber air cathode MFC. This work which examines a way to reduce environmental degradation caused by indiscriminate disposal of organic waste also confirmed the presence of naturally occurring electrogenic organism which can be exploited to recover energy as well as supplement energy production in the growing regions.

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)0.000
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0020.000

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 head0.009
GPT teacher head0.171
Teacher spread0.163 · 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