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Record W2613303230 · doi:10.26512/2016.12.d.23238

Avaliação das alterações morfológicas do osso cortical e trabecular da mandíbula e fêmur em ratas ovariohisterectomizadas : estudo in vivo

2016· dissertation· pt· W2613303230 on OpenAlexaff
Danielle Leal Vieira

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsCarré Technologies (Canada)
Fundersnot available
KeywordsMandMedicine

Abstract

fetched live from OpenAlex

a expert nas dosagens, histórias não faltarão em nossas lembranças.A FAP-DF pelo subsídio para que esse trabalho fosse viabilizado, a CAPES pelo fornecimento da bolsa de mestrado que contribuiu muito para minha formação profissional.Ao Instituto de Biologia pela parceria e disponibilidade em utilizar os laboratórios equipamentos imprescindíveis para realização desse trabalho.Ao Biotério da Faculdade Ciências da Saúde por disponibilizar alojamento e nos ajudarem a cuidar dos nossos animais.A pós-graduação em Ciências da Saúde pelas orientações e ajudas burocráticas ao longo de todo esse processo.A Universidade de Brasília pelo apoio e incentivo aos alunos de pós-graduação.Minha eterna gratidão a todos, muito obrigada!"Se chamares experiências às tuas dificuldades e recordares que cada experiência te ajuda a amadurecer, vai crescer vigoroso e feliz, não importa quão adversas pareçam as circunstâncias."

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.375
Teacher spread0.341 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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