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Record W2212799793 · doi:10.33233/fb.v7i5.1936

Traumatismo músculo-esquelético por projétil de arma de fogo

2018· article· pt· W2212799793 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFisioterapia Brasil · 2018
Typearticle
Languagept
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

O presente trabalho é um estudo sobre cinco pacientes, sendo todos policiais militares, submetidos ao tratamento fi sioterapêutico de recuperação funcional do Centro de Reabilitação da Polí­cia Militar do Estado do Rio de Janeiro, com traumatismo músculo-esquelético por projétil de arma de fogo (PAF). Foram analisados, neste estudo, os tipos de arma de origem do projétil, a força de impacto, o tipo de lesão, os danos funcionais e o tratamento realizado. Os pacientes foram acompanhados desde o perí­odo de internação no Hospital Central de Polí­cia Militar do Estado do Rio de Janeiro (HPM) até o perí­odo ambulatorial no Centro de Reabilitação da PMERJ. Todos os pacientes apresentaram danos funcionais extensivos irreparáveis, levando í deteriorização e limitação expressiva de sua qualidade de vida. Foram pesquisados 5 calibres de diferentes armas, sendo elas: uma pistola calibre 9 milí­metros, um revólver calibre 38, uma pistola calibre 380, um fuzil calibre 556/223 e uma carabina ponto 30. Palavras-chave: traumatismo, projétil de arma de fogo, fi sioterapia, reabilitação

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.021
GPT teacher head0.306
Teacher spread0.285 · 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