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Record W1971303334 · doi:10.5935/1809-2667.20040015

Domótica: Aplicabilidade e Sistemas de Automação Residencial

2004· article· pt· W1971303334 on OpenAlexaff
César Luiz de Azevedo Dias, Nélio Domingues Pizzolato

Bibliographic record

VenueVértices · 2004
Typearticle
Languagept
FieldEngineering
TopicSmart Cities and Technologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este artigo discorre sobre os benefícios e a aplicabilidade da automação residencial, também denominada Domótica. Segundo a Domotics Integration Project (DIP), Domótica ou tecnologia da casa inteligente é a integração dos serviços e tecnologias, aplicados a residências, flats, apartamentos, casas e pequenas construções, com o propósito de automatizá-los e obter aumento em relação à segurança e proteção, conforto, comunicação e gerenciamento técnico. Também neste trabalho é apresentada uma síntese de elementos que podem compor uma “residência inteligente”, além de algumas vantagens obtidas com sua integração e, por fim, são ilustrados alguns sistemas aplicados na automação residencial, com diferentes tipos de tecnologias, que têm apresentado destaque comercial no cenário nacional e internacional.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0100.006
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.004

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 head0.017
GPT teacher head0.239
Teacher spread0.223 · 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 designNot applicable
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

Citations8
Published2004
Admission routes1
Has abstractyes

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