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Record W638818193

Sustainability Assessment of the Hot Water Extraction Biorefinery Process Using a Phased Implementation Approach

2014· article· en· W638818193 on OpenAlexfundno aff
Banafsheh Gilani

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2014
Typearticle
Languageen
FieldEngineering
TopicProcess Optimization and Integration
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiorefinerySustainabilityProcess (computing)Extraction (chemistry)Environmental scienceWater extractionProcess engineeringWaste managementEngineeringComputer scienceBiofuelChemistryChromatography
DOInot available

Abstract

fetched live from OpenAlex

les principales sources d'impacts.Les options de bioraffinage, y compris le sirop d'hémicelluloses pour les sucres C5 et les sucres C5 présentent respectivement des réductions des gaz à effet de serre (GES) de 80 % et 68 %.En outre, les résultats montrent une amélioration considérable de la performance (plus de trois fois) dans la catégorie d'impact sur la santé humaine.En raison de la cohérence entre les résultats économiques, environnementaux et d'analyse des risques, l'identification de la stratégie la plus durable est simple.La coproduction du sel d'acétate et d'hémicellulose pour la fabrication de sucre C5 en phase I suivi par la coproduction du sel d'acétate et du sucre C5 en phase II, apparaît comme étant la stratégie de bioraffinage la plus prometteuse et durable.viii

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.284
Teacher spread0.273 · 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 designSimulation or modeling
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

Citations3
Published2014
Admission routes1
Has abstractno

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