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Síndrome de dolor regional complejo: Nuevos conceptos sobre diagnóstico y tratamiento

2019· article· es· W2979650012 on OpenAlexaff
Paulo Henrique Pires de Aguiar, Joseph Buwembo, Debora Sacoman, Camila Amaral Silva, Camila Pereira Barretto, Iracema Araújo Estevão, Bruno Camporeze, Renata Simm, Samuel Simis, Chris Ekong

Bibliographic record

VenueRevista Chilena de Neurocirugía · 2019
Typearticle
Languagees
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsRegina General Hospital
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

Antecedentes: Los autores presentan una revisión crítica sobre el cuadro clínico, el diagnóstico, clasificación y tratamiento del síndrome de dolor regional complejo, discutiendo todos los métodos de tratamiento y haciendo hincapié en que la reabilitación debe ser empleada con el fin de obtener un mejor resultado. Aspecto psicológico debe ser discutido en el tratamiento y también se anima equipo multidisciplinario para participar en él.

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)0.007
metaresearch head score (Gemma)0.017
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: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0020.011
Scholarly communication0.0050.006
Open science0.0020.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.272
Teacher spread0.253 · 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
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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