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Record W4323342587 · doi:10.5772/intechopen.105664

Trends in Assistive Technologies

2023· book· en· W4323342587 on OpenAlexfundno aff
Alejandro Rafael Garcia-Ramirez

Bibliographic record

VenueBiomedical engineering · 2023
Typebook
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthKidney Foundation of CanadaUniversity of GlasgowFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaConselho Nacional de Desenvolvimento Científico e TecnológicoNational Institute on Minority Health and Health DisparitiesCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsComputer science

Abstract

fetched live from OpenAlex

This book covers a wide range of subject areas, including assisted living, social robots, augmentative and alternative communication, connectivity, artificial intelligence, and robot design. Each chapter is authored by experts in their respective fields and offers readers theoretical and applied scientific papers that can serve as original research or review papers. This valuable volume is essential for researchers, practitioners, and anyone interested in developments in assistive technology. It explores trends and innovations in the field, demonstrating how assistive technology is enhancing the lives of people with disabilities or reduced mobility, and the elderly. The book is a comprehensive overview of the latest research and advancements in assistive technology, making it an essential addition to any library for both seasoned researchers and those just starting to explore the field. We are grateful to the authors for their invaluable contributions to this book, which would not have been possible without their generosity in sharing their knowledge and experiences.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.063
GPT teacher head0.396
Teacher spread0.334 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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