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Record W3035662680 · doi:10.1016/j.rmcr.2020.101128

Disease recurrence after lung transplantation for idiopathic pulmonary hemosiderosis

2020· article· en· W3035662680 on OpenAlexaff
Bryan Ross, K. Halloran, Benjamin Adam, Bryce Laing, A. Hirji

Bibliographic record

VenueRespiratory Medicine Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsMcGill UniversityUniversity of Alberta
Fundersnot available
KeywordsMedicineHemosiderosisLung transplantationDiseaseLungTransplantationPulmonary hypertensionRefractory (planetary science)Internal medicinePathology

Abstract

fetched live from OpenAlex

Idiopathic pulmonary hemosiderosis is characterized by the triad of hemoptysis, iron deficiency anemia and pulmonary infiltrates. Though idiopathic pulmonary hemosiderosis has classically been described as a childhood disease, survival into adulthood is possible. Treatment options for advanced and/or refractory disease is limited, and in our unique case of idiopathic pulmonary hemosiderosis with precapillary pulmonary hypertension, lung transplantation has had a favorable short-term outcome. We also demonstrate that disease recurrence of idiopathic pulmonary hemosiderosis following lung transplantation is possible.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.293
Teacher spread0.262 · 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 designCase report
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

Citations5
Published2020
Admission routes1
Has abstractyes

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