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Record W2736817089 · doi:10.1016/j.trre.2017.07.001

Management of multidrug resistant Gram-negative bacilli infections in solid organ transplant recipients: SET/GESITRA-SEIMC/REIPI recommendations

2017· review· en· W2736817089 on OpenAlexaff
José María Aguado, J.T. Silva, Mario Fernández‐Ruiz, Elisa Cordero, Jesús Fortün, Carlota Gudiol, Luis Martı́nez-Martı́nez, E. Vidal, Luís Almenar, Benito Almirante, Rafael Cantón, Jordi Carratalà, Juan José Castón, Emilia Cercenado, Carlos Cervera, José Miguel Cisneros, María G. Crespo‐Leiro, Valentín Cuervas‐Mons, J. Elizalde-Fernández, María Carmen Fariñas, Joan Gavaldà, M.J. Goyanes, Belén Gutiérrez‐Gutiérrez, Domingo Hernández, Óscar Len, Rafael López‐Andújar, Francisco López‐Medrano, Pilar Martín‐Dávila, Miguel Montejo, Asunción Moreno, Antonio Oliver, Álvaro Pascual, Elena Pérez‐Nadales, Antonio Román-Broto, Daniel Serón, Amparó Solé, Maricela Valerio, Patricia Muñóz, Julián Torre‐Cisneros

Bibliographic record

VenueTransplantation Reviews · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineContraindicationIntensive care medicineAntibioticsColistinPseudomonas aeruginosaInfection controlTransplantationTuberculosisKidney transplantationMultiple drug resistanceLung transplantationInternal medicineMicrobiology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.392
Teacher spread0.311 · 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 teacher head, not a consensus.

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

Citations152
Published2017
Admission routes1
Has abstractno

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