MétaCan
Menu
← Back to cohort

Sobredentaduras mandibulares retidas por mini implantes: um ensaio clínico randomizado (parte I)

2015· dissertation· pt· W2565753452 on OpenAlexaff
Adriana Barbosa Ribeiro

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsContinental (Canada)
FundersFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

orgulho.Te amo saudosamente. Agradecimentos EspeciaisAo meu orientador Profº.Dr. Raphael Freitas de Souza.Embora desconhecida me fez sua orientada e acreditou nos meus esforços em todos os momentos.Proporciou as melhores oportunidades acadêmicas e compartilhou momentos pessoais que levarei comigo sempre.A oportunidade de ter dividido este estudo com nossa equipe é única e fascinante, pois das dificuldades nos fortalecemos

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.337
Teacher spread0.306 · 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 designRandomized trial
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicDental Implant Techniques and Outcomes→French-language works237,207→