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Record W4320477636 · doi:10.1039/bk9781849739757-00443

Ocean Resources for the Production of Renewable Chemicals and Materials

2014· book-chapter· en· W4320477636 on OpenAlexaff
Francesca M. Kerton

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicCatalysis for Biomass Conversion
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSupercritical fluidBiomass (ecology)Renewable resourceChemistryEnvironmental scienceChitinAlgaeSustainabilityRenewable energyEnvironmental chemistryBiochemical engineeringOrganic chemistryChitosanEngineeringBiologyEcology

Abstract

fetched live from OpenAlex

This chapter describes the use of ocean- or marine-sourced biomass for the production of renewable materials and chemicals. Algae and waste from the fisheries can be used to provide a range of chemicals including biopolymers (carbohydrates), pigments, proteins (and amino acids), lipids and minerals. This chapter highlights the use of algae to produce phycocolloids (carrageenans, agarose and alginates), waste crustacean shells to produce chitin, chitosan and related small molecules, and waste mollusc shells to produce biorenewable calcium carbonate. In many cases, green chemistry and engineering approaches are employed. Examples include the use of catalysts (both chemical and bio-catalysts) and the use of alternative solvents (water, supercritical fluids and ionic liquids). Furthermore, consideration of the overall sustainability of current fishing and aquaculture practices is encouraged and the use of by-products for adding commercial viability to this sector of the economy is outlined.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.263
Threshold uncertainty score0.380

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)0.0000.000

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 head0.008
GPT teacher head0.178
Teacher spread0.171 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2014
Admission routes1
Has abstractyes

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