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Record W2112973163 · doi:10.5539/jsd.v8n3p43

Products Produced from Organic Waste Using Managed Ecosystem Fermentation

2015· article· en· W2112973163 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsnot available
Fundersnot available
KeywordsBiomass (ecology)FermentationBiodegradable wasteEcosystemChemical industryOrganic matterBusinessPortfolioCelluloseProcess (computing)Environmental scienceBiochemical engineeringPulp and paper industryChemistryBiologyEcologyFood scienceComputer scienceBiochemistryEnvironmental engineeringEngineering

Abstract

fetched live from OpenAlex

Biomass is the only renewable source of organic chemicals available. The Managed Ecosystem Fermentation process biologically converts organic waste into high value industrial chemicals over night. MEF modifies and regulates a process that has worked in nature for millions of years to extract valuable basic chemicals that are used in industry today, thereby converting the handling of waste from an expense to a source of revenue. MEF is the only known process that can convert cellulose into protein. Unlike most processes that produce a single product, the MEF produces a portfolio of products. MEF produces a portfolio of products ranging from enzymes, proteins and multiple long and short chain fatty acids. The MEF process is based on the microbial ecosystem in a ruminant animal. It is a multispecies process involving over 3,000 species of microbes simultaneously. It works because a multispecies system has more chemical pathways to breakdown the organic matter than a single species.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.209
Teacher spread0.190 · 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