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Record W7066623500

Infección por Clostridium difficile en Medicina Interna

2017· dissertation· es· W7066623500 on OpenAlexaboutno aff

Bibliographic record

VenueUVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · 2017
Typedissertation
Languagees
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsClostridium difficilePseudomembranous colitisClostridium Difficile ColitisColitisEnterocolitis
DOInot available

Abstract

fetched live from OpenAlex

Clostridium difficile fue descrito inicialmente como un componente de la flora intestinal normal de los neonatos. Sin embargo, no fue hasta 1978 cuando se le identificó como una importante causa de colitis pseudomembranosa asociada al uso de clindamicina. Este agente es responsable de un espectro de enfermedades denominado infección por C. difficile (ICD), que va desde un cuadro de diarrea no complicada y colitis pseudomembranosa hasta el megacolon tóxico y, en ocasiones, sepsis e incluso muerte. Aunque la ICD está asociada sobre todo al uso de los antibióticos, su epidemiología ha cambiado en las tres últimas décadas. Durante los años 2002 a 2005 se identificó en la provincia de Quebec (Canadá) una epidemia de ICD causada por la cepa BI/NAP1/027. Desde entonces en numerosos países se han comunicado brotes regionales de ICD, de colitis grave e incluso de muerte, causados por esta cepa. Además, estas infecciones se están empezando a identificar en poblaciones previamente no consideradas en riesgo, tales como sujetos sin contacto reciente con el sistema de atención sanitaria, embarazadas, niños, y pacientes con enfermedad inflamatoria intestinal.

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)0.004
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: none
Teacher disagreement score0.117
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.013
GPT teacher head0.257
Teacher spread0.245 · 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
Published2017
Admission routes1
Has abstractyes

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