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Record W4206317869 · doi:10.1063/9780735424036_index

Index

2021· paratext· en· W4206317869 on OpenAlexaff
David S.‐K. Ting, Jacqueline Stagner

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldEngineering
TopicMembrane-based Ion Separation Techniques
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSustainabilityRenewable energyArchitectureArchitectural engineeringEngineeringSustainable designEnvironmental economicsEnvironmental resource managementEnvironmental scienceGeographyEcologyElectrical engineeringEconomics

Abstract

fetched live from OpenAlex

This book presents pioneering insights into advancing a sustainable tomorrow using innovative engineering and architecture techniques. It provides useful discussions on all aspects of sustainable engineering—from elevator technology and hydrogen energy to self-sufficient microbial fuel cell in architecture—that may help to shape future directions. The broad, comprehensive coverage serves as a sound starting point to understand current technological advances.Sustainable Engineering Technologies and Architectures provides: • Overviews of renewable energy and sustainability, nature-friendly architecture, marine biodiversity, and energy security• Insights into frontier advances in the fields of sustainable urbanization, clean water, and clean air• Contributions by world-renowned experts in agriculture and irrigation, elevator design, architectures, biofuels, renewable energy, and hydrogen economySeasoned engineers, architecture researchers, policy makers, and environmental enthusiasts will find this a pragmatic beacon for striving forward. It is suitable as an introductory text for graduate and senior undergraduate classes on energy, renewable energy, the environment, sustainability, and/or sustainable living.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.099
Threshold uncertainty score0.982

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)0.0930.019

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 head0.013
GPT teacher head0.254
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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