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Record W2889626949 · doi:10.21037/jtd.2018.08.23

Airways diseases: asthma, COPD and chronic cough highlights from the European Respiratory Society Annual Congress 2018

2018· editorial· en· W2889626949 on OpenAlexaff
Imran Satia, Huda Badri, Lies Lahousse, Omar S. Usmani, Antonio Spanevello

Bibliographic record

VenueJournal of Thoracic Disease · 2018
Typeeditorial
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineCOPDAsthmaIntensive care medicineLung functionPulmonary diseaseChronic coughRespiratory systemLungInternal medicine

Abstract

fetched live from OpenAlex

Addressing the global morbidity associated with asthma, chronic obstructive pulmonary disease (COPD) and chronic cough is a major unmet need for the respiratory community. Reducing exacerbations and improving lung function have remained important primary endpoints in clinical studies in asthma and COPD, however, there is also a growing momentum to show efficacy and improvements in patient reported outcomes in real-world pragmatic studies.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.015
GPT teacher head0.325
Teacher spread0.310 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2018
Admission routes1
Has abstractyes

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