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Geographical variation in therapy for bloodstream infections due to multidrug-resistant Enterobacteriaceae: a post-hoc analysis of the INCREMENT study

2017· article· en· W2743055308 on OpenAlexaff
Patrick N. A. Harris, Diletta Pezzani, Belén Gutiérrez‐Gutiérrez, Pierluigi Viale, Po‐Ren Hsueh, Patricia Ruíz-Garbajosa, Mario Venditti, Mario Tumbarello, Carolina Navarro-San Francisco, Esther Calbo, Murat Akova, Helen Giamarellou, Antonio Oliver, Benito Almirante, Oriol Gasch, Luis Martı́nez-Martı́nez, Mitchell J. Schwaber, George L. Daikos, Johann Pitout, Carmen Peña, Alicia Hernández‐Torres, Yohei Doi, Federico Pérez, Felipe Francisco Tuon, Evelina Tacconelli, Yehuda Carmeli, Robert A. Bonomo, Álvaro Pascual, David L. Paterson, Jesús Rodríguez‐Baño, Juan Gálvez-Acebal, Marco Falcone, Ilias Karaiskos, Enrico Maria Trecarichi, Angela Raffaella Losito, Elisa García‐Vázquez, J. Miguel Lobato Gómez, Emmanuel Roilides, Εlias Iosifidis, Spyros Pournaras, Núria Prim, Ferrán Navarro, Beatriz Mirelis, Julia Origüen, Mario Fernández‐Ruiz, Manel Almela, Cristina de la Calle, José Antonio Martínez, Laura Morata, Nieves Larrosa, Mireia Puig‐Asensio, Germán Bou, José Luis Molina, V. González, Javier Bermejo, V. Rucci, E. Ruiz de Gopegui, C. Marinescu, M.C. Fariñas, M.E. Cano, Mónica Gozalo, J.R. Paño‐Pardo, Marta Mora-Rillo, Sílvia Gómez-Zorrilla, Fé Tubau, Athanasios Tsakris, Olympia Zarkotou, Anastasia Antoniadou, Garyphallia Poulakou, Maria Souli, Warren Lowman, Divya Virmani, Julián Torre-Cisneros, Isabel Machuca, Irene Gracia-Ahufinger, Özlem Kurt Azap, Özant Helvacı, Ahmet Şahin, Rafael Cantón, Vicente Pintado, Michele Bartoletti, Maddalena Giannella, Silke Peter, Axel Hamprecht, Cristina Badía, Mariona Xercavins, D. Fontanals, E. Jové

Bibliographic record

VenueInternational Journal of Antimicrobial Agents · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Calgary
FundersInstituto de Investigación Marqués de ValdecillaUniversitätsklinikum KölnUniversidad de CórdobaHacettepe ÜniversitesiUniversitätsklinikum TübingenNational and Kapodistrian University of AthensBaskent ÜniversitesiEuropean Federation of Pharmaceutical Industries and Associations
KeywordsMedicineOdds ratioInternal medicineCarbapenemLogistic regressionEnterobacteriaceaeAntibioticsDemographyMicrobiologyBiologyEscherichia coli

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 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)0.003
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.302
Teacher spread0.291 · 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

Citations10
Published2017
Admission routes1
Has abstractno

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