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Record W3134983441 · doi:10.1183/13993003.04466-2020

Mononuclear phagocytic system and fibrosis: back to the future?

2021· letter· en· W3134983441 on OpenAlexaff
Kjetil Ask, Megan Vierhout, Anna Dvorkin‐Gheva, Wei Shi

Bibliographic record

VenueEuropean Respiratory Journal · 2021
Typeletter
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBronchiolitis obliteransMedicineLung transplantationLungBronchiolitisFibrosisTransplantationVital capacityCystic fibrosisAirwayAirway obstructionPathologyInternal medicineLung functionSurgeryRespiratory systemDiffusing capacity

Abstract

fetched live from OpenAlex

Bronchiolitis obliterans syndrome (BOS) is a chronic lung allograft dysfunction following lung transplantation [1–3], with histopathological characteristics of obliterative bronchiolitis (OB) that includes small airway epithelial disruption, submucosal inflammation and fibrosis, and obstruction of airway lumen. Clinical diagnosis is based on persistent decline of the allograft lung function measured by forced expiratory volume in 1 s and/or forced expiratory flow at 25–75% of forced vital capacity. 50% or more of lung transplantation recipients who survive beyond 5 years develop BOS, accounting for significant cases of lung transplantation failure and the leading cause of death for recipients who survived beyond 1 year after transplantation [4]. The mononuclear phagocytic system is a key player in fibrotic disease

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)0.007
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0140.008

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 head0.036
GPT teacher head0.280
Teacher spread0.244 · 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
GenreCommentary

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

Citations2
Published2021
Admission routes1
Has abstractyes

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