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Record W4396839433 · doi:10.26512/9786585259040

Atlas Fotográfico de Anatomia Comparada de Vertebrados Volume V - Sistemas Nervoso e Sensorial

2023· book· pt· W4396839433 on OpenAlexaff
Julia Klaczko, Veronica Slobodian, Antônio Sebben, Felipe Leal Caselato, Isabela Farias de Oliveira, Gabriel Dillenburg, Juliana Luzete Monteiro, Guilherme Gomes Carvalho, Guilherme Dantas Grigório

Bibliographic record

Venuenot available
Typebook
Languagept
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAtlas (anatomy)ArtBiologyAnatomy

Abstract

fetched live from OpenAlex

Os sistemas nervoso e sensorial são responsáveis por receber, processar e responder a estímulos internos e externos. Ambos os sistemas estão intrínsecamente interligados e, portanto, são apresentados conjuntamente neste atlas. Via de regra, aspectos de anatomia topológica do sistema nervoso central serão apresentados anteriormente ao sistema nervoso periférico e, por fim, sistema sensorial. O objetivo dessa obra é contribuir para o conhecimento a respeito da estrutura morfofuncional dos vertebrados, permitindo ao público em geral compreender a complexidade de sua constituição, em uma abordagem comparativa por sistema orgânico. Cabe ressaltar que não foi nosso objetivo esgotar os assuntos em pauta, nem tampouco desenvolver revisão teórica sobre os temas abordados. Essa publicação congrega uma coletânea de preparações e imagens produzidas ao longo de mais de duas décadas de pesquisa e produção de objetos educacionais no Laboratório de Anatomia Comparada de Vertebrados da Universidade de Brasília. A maior representação de grupos como peixes, anfíbios, lagartos, serpentes e mamíferos se justifica pela maior disponibilidade de material e aproveitamento de espécimes originários de projetos de pesquisa com esses grupos.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.005

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 head0.014
GPT teacher head0.240
Teacher spread0.225 · 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
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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