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Environmental Impact and Waste Management

2020· other· en· W4236558504 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

VenueBailey's Industrial Oil and Fat Products · 2020
Typeother
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsWaste managementWastewaterEnvironmental scienceRefining (metallurgy)Process (computing)Municipal solid wasteEngineeringComputer science

Abstract

fetched live from OpenAlex

Abstract Oilseeds processing, refining and processing of vegetable oils, and further processing into oleochemicals, produces a variety of waste products. In no other industry is the proper handling of these wastes as dependent on the understanding and control of the processes. This article reviews major processes and facilities, particularly as they relate to waste generation and control. Wastes from a well‐run facility are first defined, followed by an analysis of those processes that are the largest potential waste generators. In addition, those factors are reviewed that affect process control as it relates to waste generation, followed by a review of current issues. A final section addresses the fundamentals of wastewater treatment processes often employed in fats and oils and oilseeds processing. This article addresses air and solid waste aspects of the industries as well, but the primary focus is on wastewater; emerging technologies have also been included where appropriate.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.236
Teacher spread0.207 · 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