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Record W2987248752 · doi:10.1016/s1473-3099(19)30312-3

Global guideline for the diagnosis and management of mucormycosis: an initiative of the European Confederation of Medical Mycology in cooperation with the Mycoses Study Group Education and Research Consortium

2019· review· en· W2987248752 on OpenAlexafffund
Oliver A. Cornely, Ana Alastruey‐Izquierdo, Dorothee Arenz, Sharon C.‐A. Chen, Éric Dannaoui, Bruno Hochhegger, Martin Hoenigl, Henrik Elvang Jensen, Katrien Lagrou, Russell E. Lewis, Sibylle C. Mellinghoff, Mervyn Mer, Zoi Dorothea Pana, Danila Seidel, Donald C. Sheppard, Roger Wahba, Murat Akova, Alexandre Alanio, Abdullah M. S. Al‐Hatmi, Sevtap Arıkan-Akdağlı, Hamid Badali, Ronen Ben‐Ami, Alexandro Bonifáz, Stéphane Bretagne, Elio Castagnola, Methee Chayakulkeeree, Arnaldo Lopes Colombo, Dora Corzo-León, Ľuboš Drgoňa, Andreas H. Groll, Jesús Guinea, Claus Peter Heußel, Ashraf S. Ibrahim, Souha S. Kanj, Н Н Климко, Michaela Lackner, Frédéric Lamoth, Fanny Lanternier, Dong‐Gun Lee, Thomas Lehrnbecher, B. Lmimouni, Mihai Mareș, Georg Maschmeyer, Jacques F. Meis, Joseph Meletiadis, C. Orla Morrissey, Márcio Nucci, Rita Oladele, Livio Pagano, Alessandro C. Pasqualotto, Atul Patel, Zdeněk Ráčil, Malcolm Richardson, Emmanuel Roilides, Markus Ruhnke, Seyedmojtaba Seyedmousavi, Neeraj Sidharthan, Nina Singh, János Sinkó, Anna Skiada, Monica A. Slavin, Rajeev Soman, Brad Spellberg, William J. Steinbach, Ban Hock Tan, Andrew J. Ullmann, Jörg Janne Vehreschild, Maria J. G. T. Vehreschild, Thomas J. Walsh, P. Lewis White, Nathan P. Wiederhold, Theoklis E. Zaoutis, Arunaloke Chakrabarti

Bibliographic record

VenueThe Lancet Infectious Diseases · 2019
Typereview
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsMcGill University
FundersNational Institute of Allergy and Infectious DiseasesEuropean Research CouncilDeutsche Gesellschaft für EpileptologieBasilea PharmaceuticaAstellas PharmaAgenzia Spaziale ItalianaTeva Pharmaceutical IndustriesMeso Scale DiagnosticsLes Laboratories Pierre FabreDeutsches Zentrum für InfektionsforschungUniversity of LeedsRocheCharitable Leadership FoundationAstraZenecaChiesi FarmaceuticiGlaxoSmithKline AustraliaEuropean CommissionBundesministerium für Bildung und ForschungMerck KGaABayerGilead SciencesDeutsches Zentrum für Lungenforschung3MPfizerCovidienPhysicians' Services Incorporated FoundationNovartis
KeywordsMucormycosisGuidelinePosaconazoleMedicineDiseaseIntervention (counseling)Intensive care medicineAmphotericin BMultidisciplinary approachMedical mycologySurgeryAntifungalPathologyDermatologyPolitical science

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)0.005
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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0060.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.003

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 head0.138
GPT teacher head0.459
Teacher spread0.321 · 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

Citations1,756
Published2019
Admission routes2
Has abstractno

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