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Record W3006449173 · doi:10.1183/13993003.01760-2019

Acute exacerbation of idiopathic pulmonary fibrosis: international survey and call for harmonisation

2020· article· en· W3006449173 on OpenAlexaff
Michael Kreuter, Markus Polke, Simon Walsh, Johannes Krisam, Harold R. Collard, Nazia Chaudhuri, С. Н. Авдеев, Jürgen Behr, Greg Calligaro, Tamera J. Corte, Kevin R. Flaherty, Manuela Funke-Chambour, Martin Kolb, Yasuhiro Kondoh, Toby M. Maher, María Molina‐Molina, António Morais, Catharina C. Moor, Julie Morisset, Carlos A.C. Pereira, Sílvia Quadrelli, Moisés Selman, Argyrios Tzouvelekis, Claudia Valenzuela, Carlo Vancheri, Vanesa Vicens‐Zygmunt, Julia Wälscher, Wim Wuyts, Marlies Wijsenbeek, Vincent Cottin, Elisabeth Bendstrup

Bibliographic record

VenueEuropean Respiratory Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcMaster UniversitySt. Joseph’s Healthcare Hamilton
FundersNational Institute for Health and Care Research
KeywordsMedicineIdiopathic pulmonary fibrosisPulmonologistsExacerbationIntensive care medicinePirfenidoneImmunosuppressionInternal medicineLung

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.044
GPT teacher head0.284
Teacher spread0.240 · 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.

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

Citations114
Published2020
Admission routes1
Has abstractyes

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